diff --git a/docs/demos/global_rotations_qec_codes_v1.ipynb b/docs/demos/global_rotations_qec_codes_v1.ipynb new file mode 100644 index 00000000..d7526068 --- /dev/null +++ b/docs/demos/global_rotations_qec_codes_v1.ipynb @@ -0,0 +1,2100 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "228b44f1", + "metadata": { + "id": "228b44f1" + }, + "source": [ + "# Global rotations of unentangled and encoded qubits\n", + "\n", + "This notebook studies the physics behind Fig. 4a of Bluvstein *et al.*, **A fault-tolerant neutral-atom architecture for universal quantum computation**, Nature 649, 39-46 (2026) (https://www.nature.com/articles/s41586-025-09848-5). It is written as a tutorial for Tsim and small quantum error-correcting codes.\n", + "\n", + "The target question is simple to state and subtle to interpret:\n", + "\n", + "> What happens when the same phase rotation is applied to every physical qubit in an unentangled register, a `[[7,1,3]]` Steane / 2D colour code, and a `[[15,1,3]]` Reed-Muller / 3D colour code?\n", + "\n", + "The answer is that the encoded states have sharp revivals at the angles where the global physical rotation acts as a valid transversal logical gate. The unentangled register revives only at the trivial physical revivals. The 2D colour code revives at Clifford phase angles. The 3D Reed-Muller code has an additional revival at the T angle.\n", + "\n", + "This notebook does **not** use the experimental data, atom images, pulse schedules, lookup-table decoding data, hardware noise, postselection data, or purity rescaling from the paper. It produces an ideal Tsim calculation that reproduces the structure of the Fig. 4a phenomenon.\n" + ] + }, + { + "cell_type": "markdown", + "id": "15690a4a", + "metadata": { + "id": "15690a4a" + }, + "source": [ + "## Colab setup\n", + "\n", + "The notebook runs in two modes.\n", + "\n", + "- In the Tsim repository documentation build, dependencies are already installed and the first cell does nothing.\n", + "- In Google Colab, the first cell installs `bloqade-tsim`, whose import package is `tsim`.\n", + "\n", + "GPU acceleration is not used by Tsim's circuit compiler in this notebook. A separate optional CuPy section is included near the end for dense-vector expectation-value evaluation. For these 7- and 15-qubit examples, CPU execution is usually fast enough.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8ea12c50", + "metadata": { + "execution": { + "iopub.execute_input": "2026-06-06T10:27:34.609351Z", + "iopub.status.busy": "2026-06-06T10:27:34.609038Z", + "iopub.status.idle": "2026-06-06T10:27:34.615369Z", + "shell.execute_reply": "2026-06-06T10:27:34.614150Z" + }, + "id": "8ea12c50" + }, + "outputs": [], + "source": [ + "import subprocess\n", + "import sys\n", + "\n", + "try:\n", + " __import__(\"google.colab\")\n", + "except Exception:\n", + " IN_COLAB = False\n", + "else:\n", + " IN_COLAB = True\n", + "\n", + "if IN_COLAB:\n", + " subprocess.check_call(\n", + " [sys.executable, \"-m\", \"pip\", \"install\", \"-q\", \"bloqade-tsim\", \"stim\"]\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2de10810", + "metadata": { + "execution": { + "iopub.execute_input": "2026-06-06T10:27:34.618259Z", + "iopub.status.busy": "2026-06-06T10:27:34.618017Z", + "iopub.status.idle": "2026-06-06T10:27:37.811279Z", + "shell.execute_reply": "2026-06-06T10:27:37.810456Z" + }, + "id": "2de10810" + }, + "outputs": [], + "source": [ + "import itertools\n", + "import time\n", + "from dataclasses import dataclass\n", + "from functools import cache\n", + "\n", + "from IPython.display import Markdown, display\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import stim\n", + "\n", + "try:\n", + " from tsim import Circuit\n", + "except ImportError:\n", + " from tsim.circuit import Circuit\n", + "\n", + "from tsim.utils.encoder import SteaneEncoder\n", + "\n", + "ANGLE_DEGREES = np.linspace(-180, 180, 145)\n", + "SPECIAL_ANGLES = np.array([-180, -135, -90, -45, 0, 45, 90, 135, 180], dtype=float)\n", + "RNG_SEED = 119\n", + "RUN_TSIM_SPOT_CHECKS = True\n", + "RUN_SAMPLING_DEMO = False\n", + "USE_CUPY_FOR_DENSE_EXPECTATIONS = False\n", + "SAVE_FIGURES = False\n", + "\n", + "plt.rcParams.update(\n", + " {\n", + " \"figure.dpi\": 120,\n", + " \"axes.grid\": True,\n", + " \"grid.alpha\": 0.25,\n", + " \"axes.spines.top\": False,\n", + " \"axes.spines.right\": False,\n", + " }\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "8f20b4de", + "metadata": { + "id": "8f20b4de" + }, + "source": [ + "## 1. Rotation convention\n", + "\n", + "A physical phase rotation on one qubit is\n", + "\n", + "$\n", + "R_Z(\\phi)=\\exp\\left(-i\\frac{\\phi}{2}Z\\right).\n", + "$\n", + "\n", + "Tsim parameterizes the gate as `R_Z(alpha)`, where the physical angle is\n", + "\n", + "$\n", + "\\phi = \\alpha\\pi.\n", + "$\n", + "\n", + "Thus a plotted angle of `angle_degrees` is passed to Tsim as\n", + "\n", + "$\n", + "\\alpha = \\frac{\\texttt{angle\\_degrees}}{180}.\n", + "$\n", + "\n", + "For a qubit initialized in \\(|+\\rangle\\), the rotation gives\n", + "\n", + "$\n", + "\\langle X\\rangle=\\cos(\\phi),\\qquad\n", + "\\langle Y\\rangle=\\sin(\\phi).\n", + "$\n", + "\n", + "This sign matters. The T gate in the paper is $T=\\exp(-i\\pi Z/8)$, which is a 45-degree rotation around $Z$. In Tsim syntax that is `R_Z(0.25)`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "5dc723ed", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:37.814615Z", + "iopub.status.busy": "2026-06-06T10:27:37.814277Z", + "iopub.status.idle": "2026-06-06T10:27:37.828424Z", + "shell.execute_reply": "2026-06-06T10:27:37.827550Z" + }, + "id": "5dc723ed", + "outputId": "070183ec-4040-4696-c066-400a0c118e35" + }, + "outputs": [ + { + "data": { + "text/markdown": [ + "| alpha | Tsim | Tsim | analytic | analytic |\n", + "|---:|---:|---:|---:|---:|\n", + "| 0.00 | 1.0000000000 | 0.0000000000 | 1.0000000000 | 0.0000000000 |\n", + "| 0.25 | 0.7071067812 | 0.7071067812 | 0.7071067812 | 0.7071067812 |\n", + "| 0.50 | 0.0000000000 | 1.0000000000 | 0.0000000000 | 1.0000000000 |\n", + "| 1.00 | -1.0000000000 | 0.0000000000 | -1.0000000000 | 0.0000000000 |\n", + "| -0.25 | 0.7071067812 | -0.7071067812 | 0.7071067812 | -0.7071067812 |" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "SINGLE_QUBIT_PAULIS = {\n", + " \"X\": np.array([[0, 1], [1, 0]], dtype=complex),\n", + " \"Y\": np.array([[0, -1j], [1j, 0]], dtype=complex),\n", + " \"Z\": np.array([[1, 0], [0, -1]], dtype=complex),\n", + "}\n", + "\n", + "rows = []\n", + "for alpha in [0.0, 0.25, 0.5, 1.0, -0.25]:\n", + " state = np.asarray(Circuit(f\"RX 0\\nR_Z({alpha}) 0\").to_matrix()).reshape(-1)\n", + " x_value = float(np.real(np.vdot(state, SINGLE_QUBIT_PAULIS[\"X\"] @ state)))\n", + " y_value = float(np.real(np.vdot(state, SINGLE_QUBIT_PAULIS[\"Y\"] @ state)))\n", + " expected_x = float(np.cos(np.pi * alpha))\n", + " expected_y = float(np.sin(np.pi * alpha))\n", + " assert np.allclose([x_value, y_value], [expected_x, expected_y], atol=1e-12)\n", + " rows.append((alpha, x_value, y_value, expected_x, expected_y))\n", + "\n", + "lines = [\n", + " \"| alpha | Tsim | Tsim | analytic | analytic |\",\n", + " \"|---:|---:|---:|---:|---:|\",\n", + "]\n", + "for alpha, x_value, y_value, expected_x, expected_y in rows:\n", + " lines.append(\n", + " f\"| {alpha: .2f} | {x_value: .10f} | {y_value: .10f} | \"\n", + " f\"{expected_x: .10f} | {expected_y: .10f} |\"\n", + " )\n", + "display(Markdown(\"\\n\".join(lines)))" + ] + }, + { + "cell_type": "markdown", + "id": "fd0b409c", + "metadata": { + "id": "fd0b409c" + }, + "source": [ + "## 2. What is being measured?\n", + "\n", + "Let\n", + "\n", + "$\n", + "U_Z(\\phi)=\\prod_{q=0}^{n-1}\\exp\\left(-i\\frac{\\phi}{2}Z_q\\right)\n", + "$\n", + "\n", + "be the global physical rotation. We prepare a state $|\\psi_0\\rangle$, rotate it to $|\\psi(\\phi)\\rangle=U_Z(\\phi)|\\psi_0\\rangle$, and evaluate quantities that separate three ideas that are blended together in the paper figure: raw logical observables, decoded logical observables, and stabilizer revival.\n", + "\n", + "### Decoded logical X projection\n", + "\n", + "The upper panel follows the measurement logic of Fig. 4a more closely than a bare Pauli expectation. We compute the exact X-basis probability distribution of the rotated state, infer the X-type stabilizer syndrome, apply a deterministic minimum-weight Z-error lookup-table decoder, and average the decoded logical X outcome. For a measurement bit string $m\\in\\{0,1\\}^n$, the decoder uses\n", + "\n", + "$\n", + "s(m)=H_Xm,\\qquad \\ell_{\\rm dec}(m)=\\ell_X\\cdot(m+c(s))\\pmod 2,\n", + "$\n", + "\n", + "where $H_X$ contains the X-check supports, $\\ell_X$ is the logical-X support, and $c(s)$ is the chosen minimum-weight correction for syndrome $s$. The decoded logical signal is\n", + "\n", + "$\n", + "L_X^{\\rm dec}(\\phi)=\n", + "\\frac{\\sum_{m\\in A(\\phi)}p_\\phi(m)(-1)^{\\ell_{\\rm dec}(m)}}\n", + " {\\sum_{m\\in A(\\phi)}p_\\phi(m)}.\n", + "$\n", + "\n", + "The accepted set $A(\\phi)$ is formed by ordering outcomes by decoder correction weight. If the acceptance cut crosses a weight class, that whole weight class is included proportionally, avoiding an arbitrary tie break. The defaults use the acceptance fractions stated in the paper's Methods: 46% for the 15-qubit 3D-code-style curves and 74% for the 7-qubit 2D code. In this noiseless tutorial, this is not modelling loss or hardware noise; it is the ideal decoded/postselected observable.\n", + "\n", + "This distinction is important. The bare expectation $\\langle X_L\\rangle$ has the right values exactly at the special angles, but it can wash out the flat regions between them. The decoded observable shows the plateau structure expected from stabilizer-assisted correction of nearby coherent rotations.\n", + "\n", + "### Raw logical observables\n", + "\n", + "For diagnostics we also compute\n", + "\n", + "$\n", + "L_X(\\phi)=\\langle\\psi(\\phi)|X_L|\\psi(\\phi)\\rangle,\n", + "\\qquad\n", + "L_Y(\\phi)=\\langle\\psi(\\phi)|Y_L|\\psi(\\phi)\\rangle.\n", + "$\n", + "\n", + "These are useful for checking the ideal logical gate at the exact robust angles. For example, an ideal logical T applied to $|+_L\\rangle$ gives $L_X=L_Y=1/\\sqrt2$, up to the chosen sign convention.\n", + "\n", + "### X-stabilizer response\n", + "\n", + "For CSS codes in $|+_L\\rangle$, the global $Z$ rotation primarily disturbs the X checks. We plot\n", + "\n", + "$\n", + "A_X(\\phi)=\\frac{1}{r_X}\\sum_{j=1}^{r_X}\\left|\\langle S_j^X\\rangle_\\phi\\right|,\n", + "$\n", + "\n", + "where $r_X$ is the number of independent X stabilizers. The absolute value matches the stabilizer-revival role of the lower panel: a stabilizer with sign $-1$ is still a sharp stabilizer, but it is in the wrong syndrome sector.\n", + "\n", + "### Positive-syndrome projector\n", + "\n", + "For diagnostics we also evaluate\n", + "\n", + "$\n", + "P_X(\\phi)=\\left\\langle\\prod_{j=1}^{r_X}\\frac{I+S_j^X}{2}\\right\\rangle_\\phi.\n", + "$\n", + "\n", + "This is the probability that ideal X-check measurements return all positive signs. It is a noiseless code-space diagnostic, not the paper's experimental acceptance fraction.\n", + "\n", + "All final comparison curves are normalized by their own maximum absolute value. This keeps the tutorial calculation independent of the paper's hardware normalization pipeline while retaining the unity-maximum plotting convention.\n" + ] + }, + { + "cell_type": "markdown", + "id": "7483252b", + "metadata": { + "id": "7483252b" + }, + "source": [ + "## 3. Pauli and state-vector utilities\n", + "\n", + "The default calculation uses exact state vectors. Tsim prepares the initial states and verifies selected full circuits. For the full angle grid, the global Z rotation is applied as a diagonal phase to the state vector. This avoids recompiling the same non-Clifford circuit at every angle and makes the `[[15,1,3]]` curve safe to run by default.\n", + "\n", + "Tsim and Stim use qubit 0 as the most significant axis in the state-vector indexing used below. The one-qubit convention check above fixes the sign and ordering.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "66b068a8", + "metadata": { + "execution": { + "iopub.execute_input": "2026-06-06T10:27:37.831519Z", + "iopub.status.busy": "2026-06-06T10:27:37.831277Z", + "iopub.status.idle": "2026-06-06T10:27:37.857488Z", + "shell.execute_reply": "2026-06-06T10:27:37.856374Z" + }, + "id": "66b068a8" + }, + "outputs": [], + "source": [ + "PAULI_MUL = {\n", + " (\"I\", \"I\"): (1, \"I\"),\n", + " (\"I\", \"X\"): (1, \"X\"),\n", + " (\"I\", \"Y\"): (1, \"Y\"),\n", + " (\"I\", \"Z\"): (1, \"Z\"),\n", + " (\"X\", \"I\"): (1, \"X\"),\n", + " (\"X\", \"X\"): (1, \"I\"),\n", + " (\"X\", \"Y\"): (1j, \"Z\"),\n", + " (\"X\", \"Z\"): (-1j, \"Y\"),\n", + " (\"Y\", \"I\"): (1, \"Y\"),\n", + " (\"Y\", \"X\"): (-1j, \"Z\"),\n", + " (\"Y\", \"Y\"): (1, \"I\"),\n", + " (\"Y\", \"Z\"): (1j, \"X\"),\n", + " (\"Z\", \"I\"): (1, \"Z\"),\n", + " (\"Z\", \"X\"): (1j, \"Y\"),\n", + " (\"Z\", \"Y\"): (-1j, \"X\"),\n", + " (\"Z\", \"Z\"): (1, \"I\"),\n", + "}\n", + "\n", + "\n", + "@dataclass(frozen=True)\n", + "class Observable:\n", + " coefficient: complex\n", + " pauli: str\n", + "\n", + "\n", + "def multiply_paulis(left: str, right: str) -> tuple[complex, str]:\n", + " phase = 1\n", + " out = []\n", + " for a, b in zip(left, right, strict=True):\n", + " local_phase, local_pauli = PAULI_MUL[(a, b)]\n", + " phase *= local_phase\n", + " out.append(local_pauli)\n", + " return phase, \"\".join(out)\n", + "\n", + "\n", + "def generated_group(generators: list[str]) -> list[tuple[complex, str]]:\n", + " identity = \"I\" * len(generators[0])\n", + " group = []\n", + " for bits in itertools.product([0, 1], repeat=len(generators)):\n", + " phase = 1\n", + " pauli = identity\n", + " for bit, generator in zip(bits, generators, strict=True):\n", + " if bit:\n", + " local_phase, pauli = multiply_paulis(pauli, generator)\n", + " phase *= local_phase\n", + " group.append((phase, pauli))\n", + " return group\n", + "\n", + "\n", + "@cache\n", + "def pauli_action(pauli: str) -> tuple[np.ndarray, np.ndarray]:\n", + " n = len(pauli)\n", + " indices = np.arange(1 << n, dtype=np.uint64)\n", + " flip_mask = 0\n", + " z_mask = 0\n", + " y_count = 0\n", + " for qubit, axis in enumerate(pauli):\n", + " bit_position = n - 1 - qubit\n", + " if axis in \"XY\":\n", + " flip_mask |= 1 << bit_position\n", + " if axis in \"YZ\":\n", + " z_mask |= 1 << bit_position\n", + " if axis == \"Y\":\n", + " y_count += 1\n", + " parity = np.array(\n", + " [((int(index) & z_mask).bit_count() & 1) for index in indices],\n", + " dtype=np.int8,\n", + " )\n", + " phase = ((1j) ** y_count) * (1 - 2 * parity)\n", + " return indices ^ np.uint64(flip_mask), phase\n", + "\n", + "\n", + "@cache\n", + "def hamming_weights(n: int) -> np.ndarray:\n", + " return np.array([index.bit_count() for index in range(1 << n)], dtype=np.int16)\n", + "\n", + "\n", + "def pauli_expectation_complex(state: np.ndarray, pauli: str) -> complex:\n", + " partner, phase = pauli_action(pauli)\n", + " return np.sum(np.conjugate(state[partner]) * phase * state)\n", + "\n", + "\n", + "def pauli_expectation(state: np.ndarray, pauli: str) -> float:\n", + " return float(np.real_if_close(pauli_expectation_complex(state, pauli)).real)\n", + "\n", + "\n", + "def observable_expectation(state: np.ndarray, observable: Observable) -> float:\n", + " value = observable.coefficient * pauli_expectation_complex(state, observable.pauli)\n", + " return float(np.real_if_close(value).real)\n", + "\n", + "\n", + "def apply_pauli_to_state(state: np.ndarray, pauli: str) -> np.ndarray:\n", + " partner, phase = pauli_action(pauli)\n", + " out = np.empty_like(state)\n", + " out[partner] = phase * state\n", + " return out\n", + "\n", + "\n", + "def pauli_string(n: int, axis: str, support: list[int] | np.ndarray) -> str:\n", + " text = [\"I\"] * n\n", + " for qubit in support:\n", + " text[int(qubit)] = axis\n", + " return \"\".join(text)\n", + "\n", + "\n", + "def stim_pauli_text(pauli: str) -> str:\n", + " return pauli.replace(\"I\", \"_\")\n", + "\n", + "\n", + "def logical_y_from_xz(logical_x: str, logical_z: str) -> Observable:\n", + " phase, pauli = multiply_paulis(logical_x, logical_z)\n", + " coefficient = 1j * phase\n", + " assert np.isclose(coefficient.imag, 0.0, atol=1e-12)\n", + " return Observable(float(np.real(coefficient)), pauli)\n", + "\n", + "\n", + "def orient_y_to_positive_rotation(\n", + " base_state: np.ndarray,\n", + " n: int,\n", + " logical_y: Observable,\n", + " probe_angle_degrees: float = 1.0,\n", + ") -> Observable:\n", + " test_state = rotate_state_from_base(base_state, n, probe_angle_degrees)\n", + " if observable_expectation(test_state, logical_y) < 0:\n", + " return Observable(-logical_y.coefficient, logical_y.pauli)\n", + " return logical_y\n", + "\n", + "\n", + "def normalized_state(circuit: Circuit) -> np.ndarray:\n", + " state = np.asarray(circuit.to_matrix()).reshape(-1)\n", + " return state / np.sqrt(np.vdot(state, state).real)\n", + "\n", + "\n", + "def rotate_state_from_base(\n", + " base_state: np.ndarray,\n", + " n: int,\n", + " angle_degrees: float,\n", + ") -> np.ndarray:\n", + " theta = np.deg2rad(angle_degrees)\n", + " phases = np.exp(-0.5j * theta * (n - 2 * hamming_weights(n)))\n", + " return base_state * phases\n", + "\n", + "\n", + "def append_global_rz(circuit: Circuit, angle_degrees: float) -> Circuit:\n", + " rotated = circuit.copy()\n", + " for qubit in range(circuit.num_qubits):\n", + " rotated.append(\"R_Z\", [qubit], arg=angle_degrees / 180)\n", + " return rotated\n", + "\n", + "\n", + "def state_from_tsim_with_global_rz(\n", + " circuit: Circuit, angle_degrees: float\n", + ") -> np.ndarray:\n", + " return normalized_state(append_global_rz(circuit, angle_degrees))\n", + "\n", + "\n", + "def x_projected_expectation(\n", + " state: np.ndarray,\n", + " x_stabilizers: list[str],\n", + " observable: Observable,\n", + ") -> float:\n", + " value = 0j\n", + " for phase, stabilizer in generated_group(x_stabilizers):\n", + " local_phase, pauli = multiply_paulis(stabilizer, observable.pauli)\n", + " value += (\n", + " phase\n", + " * local_phase\n", + " * observable.coefficient\n", + " * pauli_expectation_complex(\n", + " state,\n", + " pauli,\n", + " )\n", + " )\n", + " return float(np.real_if_close(value / (2 ** len(x_stabilizers))).real)\n", + "\n", + "\n", + "def x_projector_probability(state: np.ndarray, x_stabilizers: list[str]) -> float:\n", + " value = 0j\n", + " for phase, pauli in generated_group(x_stabilizers):\n", + " value += phase * pauli_expectation_complex(state, pauli)\n", + " return float(np.real_if_close(value / (2 ** len(x_stabilizers))).real)\n", + "\n", + "\n", + "def mean_abs_expectation(state: np.ndarray, observables: list[str]) -> float:\n", + " return float(\n", + " np.mean(\n", + " [abs(pauli_expectation(state, observable)) for observable in observables]\n", + " )\n", + " )\n", + "\n", + "\n", + "def mean_signed_expectation(state: np.ndarray, observables: list[str]) -> float:\n", + " return float(\n", + " np.mean([pauli_expectation(state, observable) for observable in observables])\n", + " )\n", + "\n", + "\n", + "def normalize_signed(values: np.ndarray) -> np.ndarray:\n", + " scale = np.max(np.abs(values))\n", + " if scale == 0:\n", + " raise ValueError(\"Cannot normalize a zero curve.\")\n", + " return values / scale\n", + "\n", + "\n", + "def normalize_positive(values: np.ndarray) -> np.ndarray:\n", + " scale = np.max(values)\n", + " if scale == 0:\n", + " raise ValueError(\"Cannot normalize a zero curve.\")\n", + " return values / scale\n", + "\n", + "\n", + "@cache\n", + "def computational_basis_bits(n: int) -> np.ndarray:\n", + " indices = np.arange(1 << n, dtype=np.uint32)\n", + " return np.array(\n", + " [((indices >> (n - 1 - qubit)) & 1) for qubit in range(n)],\n", + " dtype=np.uint8,\n", + " ).T\n", + "\n", + "\n", + "def x_support_row(pauli: str) -> np.ndarray:\n", + " return np.array([axis == \"X\" for axis in pauli], dtype=np.uint8)\n", + "\n", + "\n", + "@cache\n", + "def x_basis_hadamard_matrix_size(n: int) -> int:\n", + " return 1 << n\n", + "\n", + "\n", + "def x_basis_amplitudes(state: np.ndarray) -> np.ndarray:\n", + " out = state.copy()\n", + " size = out.shape[0]\n", + " half_width = 1\n", + " inv_sqrt2 = 1 / np.sqrt(2)\n", + " while half_width < size:\n", + " out = out.reshape(-1, 2 * half_width)\n", + " left = out[:, :half_width].copy()\n", + " right = out[:, half_width : 2 * half_width].copy()\n", + " out[:, :half_width] = (left + right) * inv_sqrt2\n", + " out[:, half_width : 2 * half_width] = (left - right) * inv_sqrt2\n", + " out = out.reshape(size)\n", + " half_width *= 2\n", + " return out\n", + "\n", + "\n", + "@dataclass(frozen=True)\n", + "class XBasisDecoder:\n", + " decoded_sign: np.ndarray\n", + " correction_weight: np.ndarray\n", + "\n", + "\n", + "def syndrome_id(bits: np.ndarray) -> int:\n", + " out = 0\n", + " for bit in bits:\n", + " out = (out << 1) | int(bit)\n", + " return out\n", + "\n", + "\n", + "def make_x_basis_decoder(\n", + " x_stabilizers: list[str], logical_x: Observable\n", + ") -> XBasisDecoder:\n", + " n = len(logical_x.pauli)\n", + " checks = np.array([x_support_row(pauli) for pauli in x_stabilizers], dtype=np.uint8)\n", + " logical = x_support_row(logical_x.pauli)\n", + " correction_weight_by_syndrome = np.full(1 << len(x_stabilizers), n + 1, dtype=int)\n", + " correction_logical_by_syndrome = np.zeros(1 << len(x_stabilizers), dtype=np.uint8)\n", + "\n", + " for index in range(1 << n):\n", + " error = computational_basis_bits(n)[index]\n", + " syndrome = syndrome_id((checks @ error) % 2)\n", + " weight = int(np.sum(error))\n", + " logical_flip = int(np.dot(logical, error) % 2)\n", + " if weight < correction_weight_by_syndrome[syndrome]:\n", + " correction_weight_by_syndrome[syndrome] = weight\n", + " correction_logical_by_syndrome[syndrome] = logical_flip\n", + "\n", + " measurement_bits = computational_basis_bits(n)\n", + " syndrome_bits = (measurement_bits @ checks.T) % 2\n", + " syndrome_ids = np.array(\n", + " [syndrome_id(row) for row in syndrome_bits], dtype=np.uint16\n", + " )\n", + " raw_logical = (measurement_bits @ logical) % 2\n", + " decoded_logical = raw_logical ^ correction_logical_by_syndrome[syndrome_ids]\n", + " decoded_sign = 1 - 2 * decoded_logical.astype(np.int8)\n", + " correction_weight = correction_weight_by_syndrome[syndrome_ids]\n", + " return XBasisDecoder(\n", + " decoded_sign=decoded_sign.astype(float), correction_weight=correction_weight\n", + " )\n", + "\n", + "\n", + "def decoded_logical_x_expectation(\n", + " state: np.ndarray,\n", + " decoder: XBasisDecoder,\n", + " acceptance_fraction: float,\n", + ") -> tuple[float, float]:\n", + " probabilities = np.abs(x_basis_amplitudes(state)) ** 2\n", + " max_weight = int(np.max(decoder.correction_weight))\n", + " probability_by_weight = np.bincount(\n", + " decoder.correction_weight,\n", + " weights=probabilities,\n", + " minlength=max_weight + 1,\n", + " )\n", + " numerator_by_weight = np.bincount(\n", + " decoder.correction_weight,\n", + " weights=probabilities * decoder.decoded_sign,\n", + " minlength=max_weight + 1,\n", + " )\n", + " target = acceptance_fraction * float(np.sum(probabilities))\n", + " accepted = 0.0\n", + " numerator = 0.0\n", + " for probability, local_numerator in zip(\n", + " probability_by_weight, numerator_by_weight, strict=True\n", + " ):\n", + " if probability <= 1e-15:\n", + " continue\n", + " if accepted + probability <= target + 1e-15:\n", + " accepted += probability\n", + " numerator += local_numerator\n", + " else:\n", + " fraction = max(target - accepted, 0.0) / probability\n", + " accepted += fraction * probability\n", + " numerator += fraction * local_numerator\n", + " break\n", + " if accepted <= 0:\n", + " raise ValueError(\"No shots accepted by the decoder.\")\n", + " return float(numerator / accepted), float(accepted)" + ] + }, + { + "cell_type": "markdown", + "id": "ec503125", + "metadata": { + "id": "ec503125" + }, + "source": [ + "## 4. Why stabilizer codes suppress small global rotations\n", + "\n", + "The suppression can be seen directly by expanding the physical rotation. For small $\\phi$,\n", + "\n", + "$\n", + "R_Z(\\phi)=\\cos(\\phi/2)I-i\\sin(\\phi/2)Z.\n", + "$\n", + "\n", + "A global rotation on $n$ qubits therefore creates a coherent superposition of all possible products of $Z$ errors:\n", + "\n", + "$\n", + "U_Z(\\phi)=\\sum_{E\\subseteq\\{0,\\dots,n-1\\}} c_E(\\phi)Z_E,\n", + "$\n", + "\n", + "where the coefficient for a weight $w$ error scales as $\\sin^w(\\phi/2)\\cos^{n-w}(\\phi/2)$. A distance $d$ code has no nontrivial logical Pauli operator of weight below $d$. Low-weight terms therefore move $|+_L\\rangle$ into detectable syndrome sectors instead of immediately producing a logical rotation. The leading coherent logical term appears only at weight at least $d$.\n", + "\n", + "That is the local, small-angle statement. Fig. 4a is a global-angle statement. At special angles the full tensor product rotation is no longer a small error: it is exactly a transversal logical gate of the code. At those angles the stabilizers revive and the logical response lies on a plateau.\n" + ] + }, + { + "cell_type": "markdown", + "id": "a679e3a7", + "metadata": { + "id": "a679e3a7" + }, + "source": [ + "## 5. The `[[7,1,3]]` Steane / 2D colour code\n", + "\n", + "The Steane code is a CSS code with three X checks, three Z checks, one logical qubit, and distance 3. It is also the smallest triangular 2D colour code. In the Tsim `SteaneEncoder` ordering used here the X and Z stabilizers have the same supports,\n", + "\n", + "$\n", + "0123,\\qquad 1245,\\qquad 2346,\n", + "$\n", + "\n", + "with a representative logical support \\(015\\).\n", + "\n", + "The Steane code has transversal Clifford phase rotations. A global 90-degree phase rotation acts as a logical $S$ -type operation up to Pauli-frame conventions. The code therefore has stabilizer revivals at multiples of 90 degrees. Its logical X projection is 1 at the identity, 0 at the logical $S$ angle, and -1 at the logical $Z$ angle.\n", + "\n", + "The cells below verify the encoder in two independent ways:\n", + "\n", + "1. Stim flow checks verify that the encoder maps an input physical qubit's $X$ and $Z$ operators to the chosen encoded $X_L$ and $Z_L$.\n", + "2. Tsim state-vector checks verify that the prepared $|+_L\\rangle$ is stabilized by all Steane stabilizers and by $X_L$.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "3d1a9256", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:37.860300Z", + "iopub.status.busy": "2026-06-06T10:27:37.860038Z", + "iopub.status.idle": "2026-06-06T10:27:37.876734Z", + "shell.execute_reply": "2026-06-06T10:27:37.875749Z" + }, + "id": "3d1a9256", + "outputId": "2f77e296-b652-4dee-c41e-ec88ad26d680" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Steane verification passed\n", + "encoder flow generators: 8\n", + "prepared-state flow generators: 7\n", + "X stabilizers: XXXXIII, IXXIXXI, IIXXXIX\n", + "logical X: XXIIIXI\n", + "logical Z: ZZIIIZI\n", + "logical Y: coefficient +1, Pauli YYIIIYI\n" + ] + } + ], + "source": [ + "steane_encoder = SteaneEncoder()\n", + "steane_n = steane_encoder.n\n", + "steane_x_stabilizers = [\n", + " pauli_string(steane_n, \"X\", support)\n", + " for support in steane_encoder.stabilizer_generators\n", + "]\n", + "steane_z_stabilizers = [\n", + " pauli_string(steane_n, \"Z\", support)\n", + " for support in steane_encoder.stabilizer_generators\n", + "]\n", + "steane_logical_x = Observable(\n", + " 1, pauli_string(steane_n, \"X\", steane_encoder.observables[0])\n", + ")\n", + "steane_logical_z = pauli_string(steane_n, \"Z\", steane_encoder.observables[0])\n", + "steane_logical_y = logical_y_from_xz(steane_logical_x.pauli, steane_logical_z)\n", + "\n", + "input_x = pauli_string(steane_n, \"X\", [steane_encoder.encoding_qubit])\n", + "input_z = pauli_string(steane_n, \"Z\", [steane_encoder.encoding_qubit])\n", + "encoding_circuit = stim.Circuit(steane_encoder.encoding_program_text)\n", + "encoding_flows = [\n", + " stim.Flow(\n", + " f\"{stim_pauli_text(input_x)} -> {stim_pauli_text(steane_logical_x.pauli)}\"\n", + " ),\n", + " stim.Flow(f\"{stim_pauli_text(input_z)} -> {stim_pauli_text(steane_logical_z)}\"),\n", + "]\n", + "assert encoding_circuit.has_all_flows(encoding_flows)\n", + "\n", + "steane_prep_circuit = stim.Circuit(\n", + " f\"RX {steane_encoder.encoding_qubit}\\n\" + steane_encoder.encoding_program_text\n", + ")\n", + "prepared_flows = [\n", + " stim.Flow(f\"1 -> {stim_pauli_text(pauli)}\")\n", + " for pauli in steane_x_stabilizers + steane_z_stabilizers + [steane_logical_x.pauli]\n", + "]\n", + "assert steane_prep_circuit.has_all_flows(prepared_flows)\n", + "\n", + "steane_builder = SteaneEncoder()\n", + "steane_builder.initialize(\"RX 0\")\n", + "steane_base_circuit = steane_builder.circuit\n", + "steane_base_state = normalized_state(steane_base_circuit)\n", + "steane_logical_y = orient_y_to_positive_rotation(\n", + " steane_base_state, steane_n, steane_logical_y\n", + ")\n", + "\n", + "for pauli in steane_x_stabilizers + steane_z_stabilizers:\n", + " assert np.isclose(pauli_expectation(steane_base_state, pauli), 1.0, atol=1e-12)\n", + "assert np.isclose(\n", + " observable_expectation(steane_base_state, steane_logical_x), 1.0, atol=1e-12\n", + ")\n", + "\n", + "print(\"Steane verification passed\")\n", + "print(f\"encoder flow generators: {len(encoding_circuit.flow_generators())}\")\n", + "print(f\"prepared-state flow generators: {len(steane_prep_circuit.flow_generators())}\")\n", + "print(\"X stabilizers:\", \", \".join(steane_x_stabilizers))\n", + "print(\"logical X:\", steane_logical_x.pauli)\n", + "print(\"logical Z:\", steane_logical_z)\n", + "print(\n", + " f\"logical Y: coefficient {steane_logical_y.coefficient:+.0f}, Pauli {steane_logical_y.pauli}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3b224778", + "metadata": { + "id": "3b224778" + }, + "source": [ + "## 6. The `[[15,1,3]]` Reed-Muller / 3D colour code\n", + "\n", + "The 15-qubit quantum Reed-Muller code is the smallest 3D colour-code member used for transversal T gates. A convenient algebraic construction labels qubits by the 15 nonzero columns of a four-bit vector space:\n", + "\n", + "$\n", + "q\\in \\mathbb F_2^4\\setminus\\{0000\\}.\n", + "$\n", + "\n", + "The X checks are the four coordinate rows. Each has weight 8. The logical X operator is\n", + "\n", + "$\n", + "X_L=X^{\\otimes 15}.\n", + "$\n", + "\n", + "The Z checks are all binary vectors orthogonal to the four coordinate rows and to the all-ones logical-X row. This gives rank 10. Together with the four X checks, there are 14 independent stabilizers, so\n", + "\n", + "$\n", + "k=n-r_X-r_Z=15-4-10=1.\n", + "$\n", + "\n", + "The crucial extra property is triorthogonality. It makes \\(T^{\\otimes 15}\\), with $T=R_Z(45^\\circ)$, act as a logical T-type operation on the encoded qubit. That is why the 3D curve has a 45-degree stabilizer revival and a logical-X plateau near $1/\\sqrt2$.\n", + "\n", + "The state used below is synthesized from the verified stabilizer generators using Stim, then converted to a Tsim circuit. This is an equivalent stabilizer-state preparation for the ideal tutorial calculation; it is not the neutral-atom hypercube encoder from the experiment.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "25f41cc4", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:37.879322Z", + "iopub.status.busy": "2026-06-06T10:27:37.879085Z", + "iopub.status.idle": "2026-06-06T10:27:40.257100Z", + "shell.execute_reply": "2026-06-06T10:27:40.255173Z" + }, + "id": "25f41cc4", + "outputId": "f3d9a8ed-e524-4100-ac45-a05bc0d90186" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reed-Muller verification passed\n", + "rank(X checks): 4\n", + "rank(Z checks): 10\n", + "logical Z support: [0, 1, 2]\n", + "prepared-state flow generators: 15\n", + "logical Y: coefficient +1, Pauli YYYXXXXXXXXXXXX\n" + ] + } + ], + "source": [ + "def gf2_rank(rows: list[np.ndarray] | np.ndarray) -> int:\n", + " rows_array = np.asarray(rows, dtype=np.uint8)\n", + " if rows_array.ndim == 1:\n", + " rows_array = rows_array.reshape(1, -1)\n", + " n = rows_array.shape[1]\n", + " rows_int = [\n", + " int(sum(int(bit) << i for i, bit in enumerate(row)))\n", + " for row in rows_array\n", + " if np.any(row)\n", + " ]\n", + " rank = 0\n", + " for column in range(n):\n", + " pivot = next(\n", + " (i for i in range(rank, len(rows_int)) if (rows_int[i] >> column) & 1),\n", + " None,\n", + " )\n", + " if pivot is None:\n", + " continue\n", + " rows_int[rank], rows_int[pivot] = rows_int[pivot], rows_int[rank]\n", + " for i in range(len(rows_int)):\n", + " if i != rank and ((rows_int[i] >> column) & 1):\n", + " rows_int[i] ^= rows_int[rank]\n", + " rank += 1\n", + " return rank\n", + "\n", + "\n", + "def gf2_nullspace_basis(matrix: np.ndarray) -> list[np.ndarray]:\n", + " matrix = np.asarray(matrix, dtype=np.uint8)\n", + " n = matrix.shape[1]\n", + " rows = [int(sum(int(bit) << i for i, bit in enumerate(row))) for row in matrix]\n", + " pivots = []\n", + " row_index = 0\n", + " for column in range(n):\n", + " pivot = next(\n", + " (i for i in range(row_index, len(rows)) if (rows[i] >> column) & 1),\n", + " None,\n", + " )\n", + " if pivot is None:\n", + " continue\n", + " rows[row_index], rows[pivot] = rows[pivot], rows[row_index]\n", + " for i in range(len(rows)):\n", + " if i != row_index and ((rows[i] >> column) & 1):\n", + " rows[i] ^= rows[row_index]\n", + " pivots.append(column)\n", + " row_index += 1\n", + "\n", + " free_columns = [column for column in range(n) if column not in pivots]\n", + " basis = []\n", + " for free_column in free_columns:\n", + " vector = 1 << free_column\n", + " for row_number, pivot_column in enumerate(pivots):\n", + " if (rows[row_number] >> free_column) & 1:\n", + " vector |= 1 << pivot_column\n", + " basis.append(np.array([(vector >> i) & 1 for i in range(n)], dtype=np.uint8))\n", + " return basis\n", + "\n", + "\n", + "rm_n = 15\n", + "rm_columns = np.array(\n", + " [[int(bit) for bit in f\"{value:04b}\"] for value in range(1, 16)],\n", + " dtype=np.uint8,\n", + ").T\n", + "rm_logical_x_row = np.ones(rm_n, dtype=np.uint8)\n", + "rm_x_rows = [row.copy() for row in rm_columns]\n", + "rm_z_rows = gf2_nullspace_basis(np.vstack([rm_logical_x_row, *rm_x_rows]))\n", + "\n", + "rm_logical_z_row = None\n", + "for support in itertools.combinations(range(rm_n), 3):\n", + " candidate = np.zeros(rm_n, dtype=np.uint8)\n", + " candidate[list(support)] = 1\n", + " if (\n", + " all(np.dot(candidate, row) % 2 == 0 for row in rm_x_rows)\n", + " and np.dot(candidate, rm_logical_x_row) % 2 == 1\n", + " ):\n", + " rm_logical_z_row = candidate\n", + " break\n", + "\n", + "assert rm_logical_z_row is not None\n", + "assert gf2_rank(rm_x_rows) == 4\n", + "assert gf2_rank(rm_z_rows) == 10\n", + "assert len(rm_x_rows) + len(rm_z_rows) == 14\n", + "assert np.dot(rm_logical_x_row, rm_logical_z_row) % 2 == 1\n", + "\n", + "for x_row in rm_x_rows:\n", + " for z_row in rm_z_rows:\n", + " assert np.dot(x_row, z_row) % 2 == 0\n", + "\n", + "rm_x_stabilizers = [pauli_string(rm_n, \"X\", np.flatnonzero(row)) for row in rm_x_rows]\n", + "rm_z_stabilizers = [pauli_string(rm_n, \"Z\", np.flatnonzero(row)) for row in rm_z_rows]\n", + "rm_logical_x = Observable(1, pauli_string(rm_n, \"X\", np.flatnonzero(rm_logical_x_row)))\n", + "rm_logical_z = pauli_string(rm_n, \"Z\", np.flatnonzero(rm_logical_z_row))\n", + "rm_logical_y = logical_y_from_xz(rm_logical_x.pauli, rm_logical_z)\n", + "\n", + "rm_stim_stabilizers = [\n", + " stim.PauliString(\"+\" + stim_pauli_text(pauli))\n", + " for pauli in rm_x_stabilizers + rm_z_stabilizers + [rm_logical_x.pauli]\n", + "]\n", + "rm_stim_prep = stim.Tableau.from_stabilizers(\n", + " rm_stim_stabilizers,\n", + " allow_underconstrained=False,\n", + " allow_redundant=False,\n", + ").to_circuit(method=\"graph_state\")\n", + "rm_expected_flows = [\n", + " stim.Flow(f\"1 -> {stim_pauli_text(pauli)}\")\n", + " for pauli in rm_x_stabilizers + rm_z_stabilizers + [rm_logical_x.pauli]\n", + "]\n", + "assert rm_stim_prep.has_all_flows(rm_expected_flows)\n", + "\n", + "rm_base_circuit = Circuit.from_stim_program(rm_stim_prep)\n", + "rm_base_state = normalized_state(rm_base_circuit)\n", + "rm_logical_y = orient_y_to_positive_rotation(rm_base_state, rm_n, rm_logical_y)\n", + "\n", + "for pauli in rm_x_stabilizers + rm_z_stabilizers:\n", + " assert np.isclose(pauli_expectation(rm_base_state, pauli), 1.0, atol=1e-12)\n", + "assert np.isclose(observable_expectation(rm_base_state, rm_logical_x), 1.0, atol=1e-12)\n", + "\n", + "rm_t_state = rotate_state_from_base(rm_base_state, rm_n, 45.0)\n", + "assert np.isclose(mean_abs_expectation(rm_t_state, rm_x_stabilizers), 1.0, atol=1e-12)\n", + "assert np.isclose(\n", + " observable_expectation(rm_t_state, rm_logical_x), 1 / np.sqrt(2), atol=1e-12\n", + ")\n", + "assert np.isclose(\n", + " abs(observable_expectation(rm_t_state, rm_logical_y)), 1 / np.sqrt(2), atol=1e-12\n", + ")\n", + "\n", + "print(\"Reed-Muller verification passed\")\n", + "print(f\"rank(X checks): {gf2_rank(rm_x_rows)}\")\n", + "print(f\"rank(Z checks): {gf2_rank(rm_z_rows)}\")\n", + "print(f\"logical Z support: {[int(q) for q in np.flatnonzero(rm_logical_z_row)]}\")\n", + "print(f\"prepared-state flow generators: {len(rm_stim_prep.flow_generators())}\")\n", + "print(\n", + " f\"logical Y: coefficient {rm_logical_y.coefficient:+.0f}, Pauli {rm_logical_y.pauli}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "b1493f06", + "metadata": { + "id": "b1493f06" + }, + "source": [ + "## 7. Unentangled and negative-stabilizer controls\n", + "\n", + "### Unentangled baseline\n", + "\n", + "The unentangled baseline starts in\n", + "\n", + "$\n", + "|+\\rangle^{\\otimes 15}.\n", + "$\n", + "\n", + "It is then analysed with the same Reed-Muller logical-X and X-check observables. Because no stabilizer-code entanglement is present, the response factorizes. In particular,\n", + "\n", + "$\n", + "\\langle X^{\\otimes 15}\\rangle = \\cos^{15}\\phi.\n", + "$\n", + "\n", + "The baseline therefore revives at 180-degree physical revivals, not at 90-degree Clifford code revivals or 45-degree T-code revivals.\n", + "\n", + "### Negative-stabilizer Reed-Muller control\n", + "\n", + "The Nature figure also compares a 3D code with incorrect stabilizer signs. In this notebook, we build a transparent control by applying physical X flips to the four basis-vector qubits of the Reed-Muller coordinate labelling. This keeps $X_L=+1$ at zero angle but flips several Z-stabilizer signs. It removes the 45-degree T plateau while preserving Clifford-like revivals.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ac68c8aa", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:40.261218Z", + "iopub.status.busy": "2026-06-06T10:27:40.260747Z", + "iopub.status.idle": "2026-06-06T10:27:40.785801Z", + "shell.execute_reply": "2026-06-06T10:27:40.783971Z" + }, + "id": "ac68c8aa", + "outputId": "377b0feb-0292-4239-d0b2-bb2107d5940d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unentangled baseline and negative-stabilizer control verified\n", + "negative-stabilizer control uses physical X flips on qubits: [0, 1, 3, 7]\n", + "number of flipped Z-check signs: 4\n" + ] + } + ], + "source": [ + "product_base_circuit = Circuit(\"RX \" + \" \".join(str(q) for q in range(rm_n)))\n", + "product_base_state = normalized_state(product_base_circuit)\n", + "\n", + "rm_corner_qubits = [0, 1, 3, 7]\n", + "rm_corner_flip = pauli_string(rm_n, \"X\", rm_corner_qubits)\n", + "rm_negative_base_state = apply_pauli_to_state(rm_base_state, rm_corner_flip)\n", + "\n", + "assert np.allclose(\n", + " abs(np.vdot(product_base_state, np.ones(1 << rm_n) / np.sqrt(1 << rm_n))), 1.0\n", + ")\n", + "for pauli in rm_x_stabilizers:\n", + " assert np.isclose(pauli_expectation(rm_negative_base_state, pauli), 1.0, atol=1e-12)\n", + "assert np.isclose(\n", + " observable_expectation(rm_negative_base_state, rm_logical_x), 1.0, atol=1e-12\n", + ")\n", + "negative_z_signs = np.array(\n", + " [pauli_expectation(rm_negative_base_state, pauli) for pauli in rm_z_stabilizers]\n", + ")\n", + "assert np.any(negative_z_signs < 0)\n", + "\n", + "negative_t_state = rotate_state_from_base(rm_negative_base_state, rm_n, 45.0)\n", + "assert mean_abs_expectation(negative_t_state, rm_x_stabilizers) < 1e-9\n", + "\n", + "print(\"Unentangled baseline and negative-stabilizer control verified\")\n", + "print(\n", + " f\"negative-stabilizer control uses physical X flips on qubits: {rm_corner_qubits}\"\n", + ")\n", + "print(f\"number of flipped Z-check signs: {int(np.sum(negative_z_signs < 0))}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1c53cb78", + "metadata": { + "id": "1c53cb78" + }, + "source": [ + "## 8. Full-rotation Tsim spot checks\n", + "\n", + "The full curves below rotate the base state by multiplying computational-basis amplitudes by the exact diagonal phase. To confirm that this matches Tsim's circuit semantics, selected angle points are compared against a full Tsim circuit containing explicit `R_Z` gates on every qubit." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "2b038aec", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:40.790023Z", + "iopub.status.busy": "2026-06-06T10:27:40.789636Z", + "iopub.status.idle": "2026-06-06T10:27:43.971646Z", + "shell.execute_reply": "2026-06-06T10:27:43.970276Z" + }, + "id": "2b038aec", + "outputId": "b1a07cb2-b982-4ff8-e0e4-16afdf1b2ec8" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Full Tsim global-RZ spot checks passed\n" + ] + } + ], + "source": [ + "if RUN_TSIM_SPOT_CHECKS:\n", + " spot_checks = [\n", + " (\n", + " \"unentangled\",\n", + " product_base_circuit,\n", + " product_base_state,\n", + " rm_n,\n", + " [0.0, 45.0, 90.0],\n", + " ),\n", + " (\"Steane\", steane_base_circuit, steane_base_state, steane_n, [0.0, 45.0, 90.0]),\n", + " (\"Reed-Muller\", rm_base_circuit, rm_base_state, rm_n, [0.0, 45.0, 90.0]),\n", + " ]\n", + " for _label, circuit, base_state, n, angles in spot_checks:\n", + " for angle in angles:\n", + " direct_state = state_from_tsim_with_global_rz(circuit, angle)\n", + " diagonal_state = rotate_state_from_base(base_state, n, angle)\n", + " fidelity = abs(np.vdot(direct_state, diagonal_state)) ** 2\n", + " assert np.isclose(fidelity, 1.0, atol=1e-12)\n", + " print(\"Full Tsim global-RZ spot checks passed\")\n", + "else:\n", + " print(\"Full Tsim global-RZ spot checks disabled\")" + ] + }, + { + "cell_type": "markdown", + "id": "e2226e7e", + "metadata": { + "id": "e2226e7e" + }, + "source": [ + "## 9. Generate all curve data\n", + "\n", + "The data object stores several related observables for each system:\n", + "\n", + "- decoded logical X response from exact X-basis probabilities and a minimum-weight lookup-table decoder;\n", + "- accepted probability used by the deterministic acceptance-fraction cut;\n", + "- raw signed logical X response;\n", + "- raw signed logical Y response, used only for the Bloch-plane diagnostic;\n", + "- projected logical X response after the positive X-check projector;\n", + "- positive X-check projector probability;\n", + "- mean absolute X-stabilizer response;\n", + "- mean signed X-stabilizer response.\n", + "\n", + "The main Fig. 4a-style plot uses the decoded logical X response and the mean absolute X-stabilizer response. The raw logical observables remain in the diagnostic plots because they are the cleanest way to verify the exact gate action at the special angles.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "a6a5b821", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:43.975915Z", + "iopub.status.busy": "2026-06-06T10:27:43.975622Z", + "iopub.status.idle": "2026-06-06T10:27:50.907308Z", + "shell.execute_reply": "2026-06-06T10:27:50.905564Z" + }, + "id": "a6a5b821", + "outputId": "a4b9ae52-9582-4bfc-af7b-b5594f01a964" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unentangled physical qubits: 7.803 s for 145 angles\n", + "[[7,1,3]] Steane / 2D colour: 0.224 s for 145 angles\n", + "[[15,1,3]] Reed-Muller / 3D colour: 3.783 s for 145 angles\n", + "3D colour with wrong stabilizer signs: 2.883 s for 145 angles\n" + ] + } + ], + "source": [ + "@dataclass(frozen=True)\n", + "class SystemDefinition:\n", + " label: str\n", + " n: int\n", + " base_state: np.ndarray\n", + " x_stabilizers: list[str]\n", + " logical_x: Observable\n", + " logical_y: Observable\n", + " acceptance_fraction: float\n", + "\n", + "\n", + "@dataclass(frozen=True)\n", + "class CurveData:\n", + " angles: np.ndarray\n", + " decoded_logical_x: np.ndarray\n", + " accepted_probability: np.ndarray\n", + " logical_x: np.ndarray\n", + " logical_y: np.ndarray\n", + " projected_logical_x: np.ndarray\n", + " x_projector_probability: np.ndarray\n", + " stabilizer_abs: np.ndarray\n", + " stabilizer_signed: np.ndarray\n", + " wall_time_s: float\n", + "\n", + "\n", + "def compute_curve(system: SystemDefinition, angles: np.ndarray) -> CurveData:\n", + " decoder = make_x_basis_decoder(system.x_stabilizers, system.logical_x)\n", + " decoded_values = []\n", + " accepted_probabilities = []\n", + " logical_x_values = []\n", + " logical_y_values = []\n", + " projected_values = []\n", + " projector_values = []\n", + " stabilizer_abs_values = []\n", + " stabilizer_signed_values = []\n", + " start = time.perf_counter()\n", + " for angle in angles:\n", + " state = rotate_state_from_base(system.base_state, system.n, float(angle))\n", + " decoded_value, accepted_probability = decoded_logical_x_expectation(\n", + " state,\n", + " decoder,\n", + " system.acceptance_fraction,\n", + " )\n", + " decoded_values.append(decoded_value)\n", + " accepted_probabilities.append(accepted_probability)\n", + " logical_x_values.append(observable_expectation(state, system.logical_x))\n", + " logical_y_values.append(observable_expectation(state, system.logical_y))\n", + " projected_values.append(\n", + " x_projected_expectation(state, system.x_stabilizers, system.logical_x)\n", + " )\n", + " projector_values.append(x_projector_probability(state, system.x_stabilizers))\n", + " stabilizer_abs_values.append(mean_abs_expectation(state, system.x_stabilizers))\n", + " stabilizer_signed_values.append(\n", + " mean_signed_expectation(state, system.x_stabilizers)\n", + " )\n", + " return CurveData(\n", + " angles=np.asarray(angles, dtype=float),\n", + " decoded_logical_x=np.asarray(decoded_values),\n", + " accepted_probability=np.asarray(accepted_probabilities),\n", + " logical_x=np.asarray(logical_x_values),\n", + " logical_y=np.asarray(logical_y_values),\n", + " projected_logical_x=np.asarray(projected_values),\n", + " x_projector_probability=np.asarray(projector_values),\n", + " stabilizer_abs=np.asarray(stabilizer_abs_values),\n", + " stabilizer_signed=np.asarray(stabilizer_signed_values),\n", + " wall_time_s=time.perf_counter() - start,\n", + " )\n", + "\n", + "\n", + "ACCEPTANCE_FRACTION_3D_STYLE = 0.46\n", + "ACCEPTANCE_FRACTION_2D = 0.74\n", + "\n", + "systems = [\n", + " SystemDefinition(\n", + " \"Unentangled physical qubits\",\n", + " rm_n,\n", + " product_base_state,\n", + " rm_x_stabilizers,\n", + " rm_logical_x,\n", + " rm_logical_y,\n", + " ACCEPTANCE_FRACTION_3D_STYLE,\n", + " ),\n", + " SystemDefinition(\n", + " \"[[7,1,3]] Steane / 2D colour\",\n", + " steane_n,\n", + " steane_base_state,\n", + " steane_x_stabilizers,\n", + " steane_logical_x,\n", + " steane_logical_y,\n", + " ACCEPTANCE_FRACTION_2D,\n", + " ),\n", + " SystemDefinition(\n", + " \"[[15,1,3]] Reed-Muller / 3D colour\",\n", + " rm_n,\n", + " rm_base_state,\n", + " rm_x_stabilizers,\n", + " rm_logical_x,\n", + " rm_logical_y,\n", + " ACCEPTANCE_FRACTION_3D_STYLE,\n", + " ),\n", + " SystemDefinition(\n", + " \"3D colour with wrong stabilizer signs\",\n", + " rm_n,\n", + " rm_negative_base_state,\n", + " rm_x_stabilizers,\n", + " rm_logical_x,\n", + " rm_logical_y,\n", + " ACCEPTANCE_FRACTION_3D_STYLE,\n", + " ),\n", + "]\n", + "\n", + "curves = {system.label: compute_curve(system, ANGLE_DEGREES) for system in systems}\n", + "\n", + "rm_curve = curves[\"[[15,1,3]] Reed-Muller / 3D colour\"]\n", + "for angle, expected in [(45.0, 1 / np.sqrt(2)), (90.0, 0.0), (135.0, -1 / np.sqrt(2))]:\n", + " index = int(np.argmin(np.abs(ANGLE_DEGREES - angle)))\n", + " assert np.isclose(rm_curve.decoded_logical_x[index], expected, atol=5e-12)\n", + " assert np.isclose(rm_curve.stabilizer_abs[index], 1.0, atol=5e-12)\n", + "\n", + "for label, curve in curves.items():\n", + " print(f\"{label}: {curve.wall_time_s:.3f} s for {len(ANGLE_DEGREES)} angles\")" + ] + }, + { + "cell_type": "markdown", + "id": "39014764", + "metadata": { + "id": "39014764" + }, + "source": [ + "## 10. Fig. 4a-style normalized plot\n", + "\n", + "This is the main tutorial reproduction of the Fig. 4a structure.\n", + "\n", + "- The top panel is the decoded logical X projection from exact X-basis probabilities and a lookup-table decoder. The 15-qubit curves use a 46% correction-weight acceptance cut and the Steane curve uses a 74% cut, matching the acceptance fractions stated in the paper's Methods. This decoded observable is what gives the 3D red curve visible plateaus near $T$, $T^\\dagger$, $S$, and $S^\\dagger$.\n", + "- The bottom panel is the normalized absolute X-stabilizer response. Peaks mark angles where the rotated state lies back in a definite X-syndrome sector.\n", + "- The top axis labels the usual phase gates associated with multiples of 45 degrees.\n", + "\n", + "The plotted curves are ideal. Experimental points in the paper include noise, loss postselection, lookup-table decoding on hardware bit strings, acceptance-fraction filtering, and additional normalization. This notebook implements the ideal decoder analogue, not the experimental data pipeline.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "554689e8", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 798 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:50.910712Z", + "iopub.status.busy": "2026-06-06T10:27:50.910332Z", + "iopub.status.idle": "2026-06-06T10:27:51.826809Z", + "shell.execute_reply": "2026-06-06T10:27:51.824901Z" + }, + "id": "554689e8", + "outputId": "a43f3be3-b0d9-493e-efa7-26342d151965" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(2, 1, figsize=(8.4, 6.4), sharex=True, constrained_layout=True)\n", + "\n", + "plot_order = [\n", + " \"[[15,1,3]] Reed-Muller / 3D colour\",\n", + " \"[[7,1,3]] Steane / 2D colour\",\n", + " \"Unentangled physical qubits\",\n", + " \"3D colour with wrong stabilizer signs\",\n", + "]\n", + "plot_styles = {\n", + " \"[[15,1,3]] Reed-Muller / 3D colour\": {\"color\": \"tab:red\"},\n", + " \"[[7,1,3]] Steane / 2D colour\": {\"color\": \"tab:blue\"},\n", + " \"Unentangled physical qubits\": {\"color\": \"tab:green\"},\n", + " \"3D colour with wrong stabilizer signs\": {\"color\": \"0.45\"},\n", + "}\n", + "\n", + "for label in plot_order:\n", + " curve = curves[label]\n", + " axes[0].plot(\n", + " curve.angles,\n", + " normalize_signed(curve.decoded_logical_x),\n", + " linewidth=2,\n", + " marker=\"o\",\n", + " markersize=2.5,\n", + " markevery=4,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + " axes[1].plot(\n", + " curve.angles,\n", + " normalize_positive(curve.stabilizer_abs),\n", + " linewidth=2,\n", + " marker=\"o\",\n", + " markersize=2.5,\n", + " markevery=4,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + "\n", + "axes[0].axhline(0, color=\"black\", linewidth=0.8, alpha=0.5)\n", + "axes[0].set_ylabel(\"Decoded logical X projection\")\n", + "axes[1].set_ylabel(\"Normalized abs. X stabilizer\")\n", + "axes[1].set_xlabel(r\"Global phase rotation $\\phi$ (degrees)\")\n", + "\n", + "for axis in axes:\n", + " axis.set_xlim(-180, 180)\n", + " axis.set_xticks(SPECIAL_ANGLES)\n", + " axis.legend(loc=\"lower right\", fontsize=8)\n", + "axes[0].set_ylim(-1.08, 1.08)\n", + "axes[1].set_ylim(-0.05, 1.05)\n", + "\n", + "phase_axis = axes[0].secondary_xaxis(\"top\")\n", + "phase_axis.set_xticks(SPECIAL_ANGLES)\n", + "phase_axis.set_xticklabels(\n", + " [\n", + " r\"$Z$\",\n", + " r\"$(TS)^\\dagger$\",\n", + " r\"$S^\\dagger$\",\n", + " r\"$T^\\dagger$\",\n", + " r\"$I$\",\n", + " r\"$T$\",\n", + " r\"$S$\",\n", + " r\"$TS$\",\n", + " r\"$Z$\",\n", + " ]\n", + ")\n", + "phase_axis.tick_params(length=0)\n", + "\n", + "fig.suptitle(\"Global phase rotations of unentangled and encoded states\")\n", + "if SAVE_FIGURES:\n", + " fig.savefig(\"global_rotations_fig4a_style.png\", dpi=240, bbox_inches=\"tight\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f99dbb83", + "metadata": { + "id": "f99dbb83" + }, + "source": [ + "## 11. Decoded and raw logical-response diagnostics\n", + "\n", + "The main figure uses the decoded logical response because that is the quantity that produces the plateau structure after syndrome information is interpreted. The next plot compares it with the raw Pauli expectation $\\langle X_L\\rangle$.\n", + "\n", + "The difference is largest for the 3D Reed-Muller curve. The raw expectation has the correct values at the exact T, S, and Z angles, but it varies too smoothly between them. The decoded curve is flatter around the protected angles because nearby low-weight syndrome sectors are corrected before the logical X outcome is averaged.\n", + "\n", + "The signed stabilizer panel is also shown without absolute values. It separates a stabilizer revival with the correct sign from a stabilizer revival in a wrong sign sector.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "1d044188", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:51.830141Z", + "iopub.status.busy": "2026-06-06T10:27:51.829752Z", + "iopub.status.idle": "2026-06-06T10:27:52.291648Z", + "shell.execute_reply": "2026-06-06T10:27:52.289903Z" + }, + "id": "1d044188", + "outputId": "371d7aa4-97a6-4936-fc6f-63c860d2f352" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(3, 1, figsize=(8.4, 8.2), sharex=True, constrained_layout=True)\n", + "\n", + "for label in plot_order:\n", + " curve = curves[label]\n", + " axes[0].plot(\n", + " curve.angles,\n", + " curve.decoded_logical_x,\n", + " linewidth=2,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + " axes[1].plot(\n", + " curve.angles,\n", + " curve.logical_x,\n", + " linewidth=2,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + " axes[2].plot(\n", + " curve.angles,\n", + " curve.stabilizer_signed,\n", + " linewidth=2,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + "\n", + "axes[0].set_title(\"Decoded versus raw logical response\")\n", + "axes[0].set_ylabel(\"Decoded $X_L$\")\n", + "axes[1].set_ylabel(r\"Raw $\\langle X_L\\rangle$\")\n", + "axes[2].set_ylabel(r\"Mean signed $\\langle S_j^X\\rangle$\")\n", + "axes[2].set_xlabel(r\"Global phase rotation $\\phi$ (degrees)\")\n", + "for axis in axes:\n", + " axis.axhline(0, color=\"black\", linewidth=0.8, alpha=0.5)\n", + " axis.set_xlim(-180, 180)\n", + " axis.set_xticks(SPECIAL_ANGLES)\n", + " axis.legend(loc=\"lower right\", fontsize=8)\n", + " axis.set_ylim(-1.08, 1.08)\n", + "if SAVE_FIGURES:\n", + " fig.savefig(\n", + " \"global_rotations_decoded_raw_diagnostic.png\", dpi=240, bbox_inches=\"tight\"\n", + " )\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7607aaf2", + "metadata": { + "id": "7607aaf2" + }, + "source": [ + "## 12. Positive X-syndrome probability\n", + "\n", + "The stabilizer absolute value says whether each stabilizer is definite. The projector probability says whether all X checks are specifically in the positive sector. The difference is important for non-Clifford transversal gates: a wrong stabilizer sign can be a perfectly sharp stabilizer, but it is not the stabilizer sector that implements the intended logical T gate.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b717eb00", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:52.295080Z", + "iopub.status.busy": "2026-06-06T10:27:52.294706Z", + "iopub.status.idle": "2026-06-06T10:27:52.459563Z", + "shell.execute_reply": "2026-06-06T10:27:52.458586Z" + }, + "id": "b717eb00", + "outputId": "977074b9-67e7-4209-bf54-eb1afff4a12c" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axis = plt.subplots(figsize=(8.4, 3.8), constrained_layout=True)\n", + "for label in plot_order:\n", + " curve = curves[label]\n", + " axis.plot(\n", + " curve.angles,\n", + " curve.x_projector_probability,\n", + " linewidth=2,\n", + " label=label,\n", + " **plot_styles[label],\n", + " )\n", + "axis.set_xlim(-180, 180)\n", + "axis.set_ylim(-0.05, 1.05)\n", + "axis.set_xticks(SPECIAL_ANGLES)\n", + "axis.set_xlabel(\"Global phase rotation $\\\\phi$ (degrees)\")\n", + "axis.set_ylabel(\"Positive X-syndrome probability\")\n", + "axis.set_title(\"Noiseless positive-syndrome projector\")\n", + "axis.legend(loc=\"lower right\", fontsize=8)\n", + "if SAVE_FIGURES:\n", + " fig.savefig(\n", + " \"global_rotations_positive_syndrome_probability.png\",\n", + " dpi=240,\n", + " bbox_inches=\"tight\",\n", + " )\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "afab7165", + "metadata": { + "id": "afab7165" + }, + "source": [ + "## 13. Logical equatorial Bloch-plane diagnostic\n", + "\n", + "A global phase rotation around $Z_L$ moves an ideal logical $|+_L\\rangle$ state in the logical X-Y plane. The plot below shows the logical equatorial response\n", + "\n", + "$\n", + "(\\langle X_L\\rangle,\\langle Y_L\\rangle)\n", + "$\n", + "\n", + "at multiples of 45 degrees.\n", + "\n", + "This diagnostic makes the T-gate interpretation visible. The 3D Reed-Muller curve reaches the 45-degree equatorial directions while maintaining stabilizer revivals. The Steane code reaches the Clifford directions. The unentangled baseline has small logical-equatorial projections away from the trivial physical revivals because the observable is a 15-body product.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "66929e06", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 719 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:52.463770Z", + "iopub.status.busy": "2026-06-06T10:27:52.463539Z", + "iopub.status.idle": "2026-06-06T10:27:52.902249Z", + "shell.execute_reply": "2026-06-06T10:27:52.900838Z" + }, + "id": "66929e06", + "outputId": "7084f406-a2b3-468a-c5b4-a0b53efb0450" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axis = plt.subplots(figsize=(5.8, 5.8), constrained_layout=True)\n", + "unit = np.linspace(0, 2 * np.pi, 300)\n", + "axis.plot(np.cos(unit), np.sin(unit), linewidth=1, alpha=0.4)\n", + "\n", + "for label in plot_order[:3]:\n", + " system = next(system for system in systems if system.label == label)\n", + " xs = []\n", + " ys = []\n", + " for angle in SPECIAL_ANGLES:\n", + " state = rotate_state_from_base(system.base_state, system.n, float(angle))\n", + " xs.append(observable_expectation(state, system.logical_x))\n", + " ys.append(observable_expectation(state, system.logical_y))\n", + " axis.plot(xs, ys, marker=\"o\", linewidth=2, label=label, **plot_styles[label])\n", + " for angle, x_value, y_value in zip(SPECIAL_ANGLES, xs, ys, strict=True):\n", + " if angle in [-180, -90, 0, 45, 90, 180]:\n", + " axis.text(x_value, y_value, f\"{int(angle)}°\", fontsize=7)\n", + "\n", + "axis.axhline(0, color=\"black\", linewidth=0.8, alpha=0.5)\n", + "axis.axvline(0, color=\"black\", linewidth=0.8, alpha=0.5)\n", + "axis.set_aspect(\"equal\", adjustable=\"box\")\n", + "axis.set_xlim(-1.1, 1.1)\n", + "axis.set_ylim(-1.1, 1.1)\n", + "axis.set_xlabel(\"$\\\\langle X_L\\\\rangle$\")\n", + "axis.set_ylabel(\"$\\\\langle Y_L\\\\rangle$\")\n", + "axis.set_title(\"Logical equatorial response at special angles\")\n", + "axis.legend(loc=\"lower left\", fontsize=8)\n", + "if SAVE_FIGURES:\n", + " fig.savefig(\n", + " \"global_rotations_logical_bloch_plane.png\", dpi=240, bbox_inches=\"tight\"\n", + " )\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3dba394c", + "metadata": { + "id": "3dba394c" + }, + "source": [ + "## 14. Special-angle table and heat maps\n", + "\n", + "The following table and heat maps summarize the expected plateaus.\n", + "\n", + "- The decoded unentangled baseline has large response near the trivial physical revivals but lacks 3D stabilizer revivals.\n", + "- The Steane code has stabilizer revivals at multiples of 90 degrees.\n", + "- The all-positive Reed-Muller code has stabilizer revivals at multiples of 45 degrees and decoded T-angle logical-X value $1/\\sqrt2$.\n", + "- The wrong-sign 3D control removes the T-angle stabilizer plateau.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "9ce955de", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:52.906278Z", + "iopub.status.busy": "2026-06-06T10:27:52.905961Z", + "iopub.status.idle": "2026-06-06T10:27:53.244201Z", + "shell.execute_reply": "2026-06-06T10:27:53.242536Z" + }, + "id": "9ce955de", + "outputId": "85ee3b34-dbcc-42b3-e5de-a6bb59d2b84d" + }, + "outputs": [ + { + "data": { + "text/markdown": [ + "| system | angle | decoded $X_L$ | raw $\\langle X_L\\rangle$ | abs. X stabilizer | positive X syndrome |\n", + "|---|---:|---:|---:|---:|---:|\n", + "| [[15,1,3]] Reed-Muller / 3D colour | -180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | -135° | -0.707 | -0.707 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | -90° | -0.000 | -0.000 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | -45° | +0.707 | +0.707 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | +0° | +1.000 | +1.000 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | +45° | +0.707 | +0.707 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | +90° | -0.000 | -0.000 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | +135° | -0.707 | -0.707 | 1.000 | 1.000 |\n", + "| [[15,1,3]] Reed-Muller / 3D colour | +180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| [[7,1,3]] Steane / 2D colour | -180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| [[7,1,3]] Steane / 2D colour | -135° | -0.368 | -0.354 | 0.500 | 0.563 |\n", + "| [[7,1,3]] Steane / 2D colour | -90° | +0.000 | +0.000 | 1.000 | 1.000 |\n", + "| [[7,1,3]] Steane / 2D colour | -45° | +0.368 | +0.354 | 0.500 | 0.563 |\n", + "| [[7,1,3]] Steane / 2D colour | +0° | +1.000 | +1.000 | 1.000 | 1.000 |\n", + "| [[7,1,3]] Steane / 2D colour | +45° | +0.368 | +0.354 | 0.500 | 0.563 |\n", + "| [[7,1,3]] Steane / 2D colour | +90° | -0.000 | -0.000 | 1.000 | 1.000 |\n", + "| [[7,1,3]] Steane / 2D colour | +135° | -0.368 | -0.354 | 0.500 | 0.563 |\n", + "| [[7,1,3]] Steane / 2D colour | +180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| Unentangled physical qubits | -180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| Unentangled physical qubits | -135° | -0.246 | -0.006 | 0.062 | 0.121 |\n", + "| Unentangled physical qubits | -90° | +0.000 | +0.000 | 0.000 | 0.062 |\n", + "| Unentangled physical qubits | -45° | +0.246 | +0.006 | 0.062 | 0.121 |\n", + "| Unentangled physical qubits | +0° | +1.000 | +1.000 | 1.000 | 1.000 |\n", + "| Unentangled physical qubits | +45° | +0.246 | +0.006 | 0.062 | 0.121 |\n", + "| Unentangled physical qubits | +90° | +0.000 | +0.000 | 0.000 | 0.062 |\n", + "| Unentangled physical qubits | +135° | -0.246 | -0.006 | 0.062 | 0.121 |\n", + "| Unentangled physical qubits | +180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| 3D colour with wrong stabilizer signs | -180° | -1.000 | -1.000 | 1.000 | 1.000 |\n", + "| 3D colour with wrong stabilizer signs | -135° | -0.137 | -0.000 | 0.000 | 0.062 |\n", + "| 3D colour with wrong stabilizer signs | -90° | -0.000 | +0.000 | 1.000 | 0.000 |\n", + "| 3D colour with wrong stabilizer signs | -45° | +0.137 | -0.000 | 0.000 | 0.063 |\n", + "| 3D colour with wrong stabilizer signs | +0° | +1.000 | +1.000 | 1.000 | 1.000 |\n", + "| 3D colour with wrong stabilizer signs | +45° | +0.137 | +0.000 | 0.000 | 0.063 |\n", + "| 3D colour with wrong stabilizer signs | +90° | -0.000 | +0.000 | 1.000 | 0.000 |\n", + "| 3D colour with wrong stabilizer signs | +135° | -0.137 | -0.000 | 0.000 | 0.062 |\n", + "| 3D colour with wrong stabilizer signs | +180° | -1.000 | -1.000 | 1.000 | 1.000 |" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def curve_value_at(curve: CurveData, values: np.ndarray, angle: float) -> float:\n", + " index = int(np.argmin(np.abs(curve.angles - angle)))\n", + " return float(values[index])\n", + "\n", + "\n", + "summary_lines = [\n", + " \"| system | angle | decoded $X_L$ | raw $\\\\langle X_L\\\\rangle$ | abs. X stabilizer | positive X syndrome |\",\n", + " \"|---|---:|---:|---:|---:|---:|\",\n", + "]\n", + "for label in plot_order:\n", + " curve = curves[label]\n", + " for angle in SPECIAL_ANGLES:\n", + " summary_lines.append(\n", + " f\"| {label} | {angle:+.0f}° | \"\n", + " f\"{curve_value_at(curve, curve.decoded_logical_x, angle):+.3f} | \"\n", + " f\"{curve_value_at(curve, curve.logical_x, angle):+.3f} | \"\n", + " f\"{curve_value_at(curve, curve.stabilizer_abs, angle):.3f} | \"\n", + " f\"{curve_value_at(curve, curve.x_projector_probability, angle):.3f} |\"\n", + " )\n", + "display(Markdown(\"\\n\".join(summary_lines)))\n", + "\n", + "logical_heat = np.array(\n", + " [\n", + " [\n", + " curve_value_at(curves[label], curves[label].decoded_logical_x, angle)\n", + " for angle in SPECIAL_ANGLES\n", + " ]\n", + " for label in plot_order\n", + " ]\n", + ")\n", + "stabilizer_heat = np.array(\n", + " [\n", + " [\n", + " curve_value_at(curves[label], curves[label].stabilizer_abs, angle)\n", + " for angle in SPECIAL_ANGLES\n", + " ]\n", + " for label in plot_order\n", + " ]\n", + ")\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(9.8, 3.8), constrained_layout=True)\n", + "left = axes[0].imshow(logical_heat, aspect=\"auto\", vmin=-1, vmax=1)\n", + "right = axes[1].imshow(stabilizer_heat, aspect=\"auto\", vmin=0, vmax=1)\n", + "axes[0].set_title(\"Decoded logical X\")\n", + "axes[1].set_title(\"Absolute X stabilizer\")\n", + "for axis in axes:\n", + " axis.set_yticks(range(len(plot_order)))\n", + " axis.set_yticklabels(plot_order, fontsize=7)\n", + " axis.set_xticks(range(len(SPECIAL_ANGLES)))\n", + " axis.set_xticklabels([f\"{angle:.0f}°\" for angle in SPECIAL_ANGLES], rotation=60)\n", + "fig.colorbar(left, ax=axes[0], shrink=0.8)\n", + "fig.colorbar(right, ax=axes[1], shrink=0.8)\n", + "if SAVE_FIGURES:\n", + " fig.savefig(\n", + " \"global_rotations_special_angle_heatmaps.png\", dpi=240, bbox_inches=\"tight\"\n", + " )\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f9742fc5", + "metadata": { + "id": "f9742fc5" + }, + "source": [ + "## 15. Optional sampling demonstration\n", + "\n", + "The default notebook uses exact state vectors because the figure is meant to show a deterministic ideal phenomenon. Tsim can also sample measurement circuits. The optional cell below samples the Steane code in the X basis and overlays finite-shot estimates on the exact logical-X curve.\n", + "\n", + "Set `RUN_SAMPLING_DEMO = True` in the flags cell to run it. The random seed is fixed.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "721fc919", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:53.247590Z", + "iopub.status.busy": "2026-06-06T10:27:53.247262Z", + "iopub.status.idle": "2026-06-06T10:27:53.254477Z", + "shell.execute_reply": "2026-06-06T10:27:53.252909Z" + }, + "id": "721fc919", + "outputId": "da1aacbb-de79-45b4-db20-501f4689c25b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sampling demo is disabled. Set RUN_SAMPLING_DEMO = True to run it.\n" + ] + } + ], + "source": [ + "if RUN_SAMPLING_DEMO:\n", + " rng_angles = np.linspace(-180, 180, 25)\n", + " shots = 2000\n", + " sampled_x = []\n", + " sampled_err = []\n", + " logical_support = np.array(\n", + " [i for i, p in enumerate(steane_logical_x.pauli) if p == \"X\"]\n", + " )\n", + " for angle in rng_angles:\n", + " sampling_circuit = append_global_rz(steane_base_circuit, float(angle))\n", + " sampling_circuit.append(\"MX\", list(range(steane_n)))\n", + " sampler = sampling_circuit.compile_sampler(seed=RNG_SEED)\n", + " samples = sampler.sample(shots, batch_size=shots)\n", + " parity = np.mod(samples[:, logical_support].sum(axis=1), 2)\n", + " values = 1 - 2 * parity\n", + " sampled_x.append(float(np.mean(values)))\n", + " sampled_err.append(float(np.std(values, ddof=1) / np.sqrt(shots)))\n", + "\n", + " exact_steane = curves[\"[[7,1,3]] Steane / 2D colour\"]\n", + " fig, axis = plt.subplots(figsize=(8.2, 3.8), constrained_layout=True)\n", + " axis.plot(exact_steane.angles, exact_steane.logical_x, linewidth=2, label=\"exact\")\n", + " axis.errorbar(\n", + " rng_angles,\n", + " sampled_x,\n", + " yerr=sampled_err,\n", + " fmt=\"o\",\n", + " label=f\"sampled, {shots} shots\",\n", + " )\n", + " axis.axhline(0, color=\"black\", linewidth=0.8, alpha=0.5)\n", + " axis.set_xlim(-180, 180)\n", + " axis.set_ylim(-1.08, 1.08)\n", + " axis.set_xticks(SPECIAL_ANGLES)\n", + " axis.set_xlabel(\"Global phase rotation $\\\\phi$ (degrees)\")\n", + " axis.set_ylabel(\"Steane $\\\\langle X_L\\\\rangle$\")\n", + " axis.set_title(\"Optional Tsim sampling check\")\n", + " axis.legend()\n", + " plt.show()\n", + "else:\n", + " print(\"Sampling demo is disabled. Set RUN_SAMPLING_DEMO = True to run it.\")" + ] + }, + { + "cell_type": "markdown", + "id": "63d9f942", + "metadata": { + "id": "63d9f942" + }, + "source": [ + "## 16. Optional CuPy dense-vector path for GPU runtimes\n", + "\n", + "This section is intentionally separate from the default calculation. It is useful only if you want to experiment with GPU array operations in Colab. It does not change Tsim's compilation path, and it is not expected to help much at 15 qubits because the arrays have only 32768 amplitudes.\n", + "\n", + "Set `USE_CUPY_FOR_DENSE_EXPECTATIONS = True` in the flags cell and run this section on a GPU runtime. If CuPy is missing, the cell installs `cupy-cuda12x`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "e5207d02", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "execution": { + "iopub.execute_input": "2026-06-06T10:27:53.257947Z", + "iopub.status.busy": "2026-06-06T10:27:53.257597Z", + "iopub.status.idle": "2026-06-06T10:27:53.265884Z", + "shell.execute_reply": "2026-06-06T10:27:53.264517Z" + }, + "id": "e5207d02", + "outputId": "d284117e-16a4-4e8a-aa78-70100c91ca55" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CuPy path is disabled. Set USE_CUPY_FOR_DENSE_EXPECTATIONS = True to run it.\n" + ] + } + ], + "source": [ + "if USE_CUPY_FOR_DENSE_EXPECTATIONS:\n", + " try:\n", + " import cupy as cp\n", + " except ModuleNotFoundError:\n", + " if not IN_COLAB:\n", + " raise\n", + " subprocess.check_call(\n", + " [sys.executable, \"-m\", \"pip\", \"install\", \"-q\", \"cupy-cuda12x\"]\n", + " )\n", + " import cupy as cp\n", + "\n", + " @cache\n", + " def cupy_pauli_action(pauli: str):\n", + " partner, phase = pauli_action(pauli)\n", + " return cp.asarray(partner), cp.asarray(phase)\n", + "\n", + " def cupy_rotate_state_from_base(\n", + " base_state: np.ndarray, n: int, angle_degrees: float\n", + " ):\n", + " theta = np.deg2rad(angle_degrees)\n", + " weights = cp.asarray(hamming_weights(n))\n", + " phases = cp.exp(-0.5j * theta * (n - 2 * weights))\n", + " return cp.asarray(base_state) * phases\n", + "\n", + " def cupy_pauli_expectation(state_gpu, pauli: str) -> float:\n", + " partner, phase = cupy_pauli_action(pauli)\n", + " value = cp.sum(cp.conjugate(state_gpu[partner]) * phase * state_gpu)\n", + " return float(cp.asnumpy(cp.real(value)))\n", + "\n", + " start = time.perf_counter()\n", + " gpu_values = []\n", + " for angle in ANGLE_DEGREES:\n", + " state_gpu = cupy_rotate_state_from_base(rm_base_state, rm_n, float(angle))\n", + " gpu_values.append(cupy_pauli_expectation(state_gpu, rm_logical_x.pauli))\n", + " cp.cuda.Stream.null.synchronize()\n", + " elapsed = time.perf_counter() - start\n", + "\n", + " cpu_values = curves[\"[[15,1,3]] Reed-Muller / 3D colour\"].logical_x\n", + " max_difference = float(np.max(np.abs(np.asarray(gpu_values) - cpu_values)))\n", + " print(f\"CuPy Reed-Muller logical-X curve: {elapsed:.3f} s\")\n", + " print(f\"maximum CPU/GPU difference: {max_difference:.3e}\")\n", + "else:\n", + " print(\n", + " \"CuPy path is disabled. Set USE_CUPY_FOR_DENSE_EXPECTATIONS = True to run it.\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "3a53c00e", + "metadata": { + "id": "3a53c00e" + }, + "source": [ + "## 17. Reading the curves\n", + "\n", + "### Unentangled physical qubits\n", + "\n", + "The unentangled register has no code-space entanglement. A global rotation is just 15 independent one-qubit rotations. In the diagnostic plot, its raw logical-X proxy is $\\cos^{15}\\phi$, so it is strongly suppressed except near $0$ and $\\pm180^\\circ$. In the main plot the baseline is still passed through the same 15-qubit X-basis decoder and 46% correction-weight acceptance cut used for the 3D-style curves. This makes it a fair comparison to the paper's unentangled control: the baseline has the same number of qubits and the same classical analysis style, but no entangled code-space revivals.\n", + "\n", + "### Steane / 2D colour code\n", + "\n", + "The Steane code protects against small coherent rotations by moving low-weight $Z$ -error components into nontrivial syndrome sectors. At global 90-degree rotations, the code stabilizers revive because the operation is a transversal Clifford phase gate. The decoded logical X projection has the expected Clifford structure: it is near +1 around identity, near zero around $S$ and $S^\\dagger$, and near -1 around logical $Z$. The stabilizer response does not revive at 45 degrees, so the 2D curve does not have a genuine T-angle plateau.\n", + "\n", + "### Reed-Muller / 3D colour code\n", + "\n", + "The Reed-Muller code has the Steane Clifford revivals and an additional 45-degree revival. At $45^\\circ$, the stabilizers remain definite and the decoded logical X projection is $1/\\sqrt2$, which is the expected X projection of a T-rotated $|+_L\\rangle$. The minimum-weight X-basis decoder turns nearby low-weight syndrome sectors back into the same logical sector, producing visible plateaus around $T$, $T^\\dagger$, $S$, and $S^\\dagger$. This is the central Fig. 4a mechanism: the 3D code turns 15 physical T rotations into one encoded T rotation rather than 15 uncontrolled physical rotations.\n", + "\n", + "### Wrong stabilizer signs\n", + "\n", + "The wrong-sign 3D control shows that entanglement alone is not enough. The stabilizer sector must also be the correct one. The control is a sharp stabilizer state at zero angle, but the 45-degree T plateau is removed.\n" + ] + }, + { + "cell_type": "markdown", + "id": "9cad2c62", + "metadata": { + "id": "9cad2c62" + }, + "source": [ + "## 18. Limitations\n", + "\n", + "This notebook is an ideal tutorial calculation. It does not reproduce experimental data.\n", + "\n", + "The omitted experimental ingredients include atom loss, SPAM error, Rydberg-gate error, mid-circuit measurement, hardware lookup-table data, loss postselection, purity normalization, and the hardware hypercube encoding pulse sequence. The notebook does include an ideal minimum-weight lookup-table decoder and deterministic acceptance-fraction cut because those are needed to display the same plateau observable that Fig. 4a emphasizes.\n", + "\n", + "The Reed-Muller preparation is a verified stabilizer-state preparation synthesized from the code checks. That is enough for the ideal global-rotation calculation because all plotted observables depend on the state, the stabilizers, the logical operators, and the global rotation. It is not a claim that this circuit matches the neutral-atom encoder.\n", + "\n", + "The optional GPU section accelerates only dense-vector array operations.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "OG5cH8Ey0l8V", + "metadata": { + "id": "OG5cH8Ey0l8V" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/tsim/utils/encoder.py b/src/tsim/utils/encoder.py index 36707501..c016267e 100644 --- a/src/tsim/utils/encoder.py +++ b/src/tsim/utils/encoder.py @@ -173,6 +173,40 @@ def encoding_flow_generators(self): assert self.encoding_program_text is not None return stim.Circuit(self.encoding_program_text).flow_generators() +class SteaneEncoder(TransversalEncoder): + """Transversal encoder for the [[7,1,3]] Steane code.""" + + def __init__(self): + """Initialize the Steane code encoder.""" + encoding_program = """ + R 0 1 2 3 4 5 + TICK + SQRT_Y_DAG 0 1 2 3 4 5 + TICK + CZ 1 2 3 4 5 6 + TICK + SQRT_Y 6 + TICK + CZ 0 3 2 5 4 6 + TICK + SQRT_Y 2 3 4 5 6 + TICK + CZ 0 1 2 3 4 5 + TICK + SQRT_Y 1 2 4 + TICK + X 3 + Z 5 1 + TICK + """ + super().__init__( + n=7, + encoding_qubit=6, + encoding_program_text=encoding_program, + stabilizer_generators=[[0, 1, 2, 3], [1, 2, 4, 5], [2, 3, 4, 6]], + observables=[[0, 1, 5]], + ) + class ColorEncoder5(TransversalEncoder): """Transversal encoder for the [[17,1,5]] 2D color code."""