Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
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Jun 17, 2022 - Python
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neural-network-quantum-states
Here are 7 public repositories matching this topic...
A high performance simulations toolkit for loop quantum gravity, built with NetKet
machine-learning deep-learning neural-networks physics-simulation quantum-gravity jax variational-monte-carlo neural-network-quantum-states netket loop-quantum-gravity neural-quantum-states
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Apr 20, 2026 - Python
Neural Network Quantum State
variational-monte-carlo metropolis-hastings-algorithm quantum-many-body neural-network-quantum-states
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Aug 11, 2022 - Jupyter Notebook
Supporting code for "Systematic improvement of neural network quantum states using Lanczos (NeurIPS 2022)""
metropolis-hastings variational-monte-carlo restricted-boltzmann-machines lanczos-iteration neural-network-quantum-states neurips-2022 quantum-many-body-physics
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Dec 18, 2022 - C++
Group work for Solid State physics course at Aalto University
neural-network quantum-mechanics many-body-physics variational-monte-carlo neural-network-quantum-states
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Jun 4, 2022 - Python
Variational algorithms for finding ground states of lattice gauge theories using gauge equivariant neural network ansätze. Phys. Rev. B 110, 165133 (2024).
lattice-gauge-theory jax variational-monte-carlo neural-network-quantum-states netket equivariant-neural-networks
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Apr 24, 2026 - Jupyter Notebook
Transcorrelated Second-Quantized Neural Network Quantum States (TC-NQS). A JAX-based framework for high-precision quantum chemistry, utilizing transcorrelation theory and efficient second-order imaginary time evolution solvers (VITE, MinSR, ProjectedSR).
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Mar 9, 2026 - Python
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