TNO - Quantum
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22 repositories
documentation
PublicDocumentation repositoryproblems.mot
PublicQuantum algorithms for multi-object tracking- Python code to compute optimal protocol parameters for different QKD protocols.
.github
Public- Quantum-inspired algorithms for linear regression
optimization.qubo
PublicQUBO optimization macrolibml
PublicMachine learning macrolibml.clustering.kmedoids
PublicQuantum K-Medoid clusteringml.clustering.bkmeans
PublicQuantum K-Medoid clusteringml.classifiers.svm
PublicQuantum Support Vector Machineml.datasets
PublicWrapper functions around sklearn datasets for testing tno.quantum.ml classifiers and clustering algorithms.- Components QUBO optimization
utils
PublicUtility classes and methods for TNO Quantum packages.ml.components
PublicMachine learning components- Python code that converts the multi-objective portfolio optimization problem into a QUBO problem.
problems.n_minus_one
PublicN-minus-1 Quantum Solver- Preprocessor QUBO optimization
- Postprocessors QUBO optimization
ml.classifiers.vc
PublicScikit-learn compliant Variational Quantum Classifierexamples
Public archiveqscore
PublicPython code to run the Q-score (Max-Cut and Max-Clique) benchmark on various backends
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