pyRiemann-qiskit
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A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
Try QNN
https://qiskit.org/ecosystem/machine-learning/tutorials/01_neural_networks.html Check if QNN can be used for classification of signals.
Comparison of QSVM with Other Machine Learning Algorithms on EEG Signals: https://ieeexplore.ieee.org/abstract/document/10131123
@toncho11 FYI https://github.com/Qiskit/qiskit-aer/blob/main/CONTRIBUTING.md#building-with-gpu-support
@qbarthelemy @toncho11 @sylvchev This looks very interesting: https://unitary.fund/ Maybe we can suggest a project idea with pyRiemann-qiskit.
The cache path for workflow `deploy_ghpages.yml` is not created. This results in additional delay when running Ci on PRs.
Shrinkage and rho range are hard-coded in docplex.py and mean.py. Follow-up for https://github.com/pyRiemann/pyRiemann-qiskit/pull/132#issuecomment-1578133444.
Follow up for #59. Add the possibility to embed presentations in sphinx documentation. E.g.: https://github.com/sphinx-contrib/slide
The work is twofold: 1. Investigate [1] which is an approach to transform SPD classes in a convex model. 2. Investigate [2], which a quantum approach to convex optimization. [1]...
Interesting library with `tensor flow` + `quantum `+ `RG` (thanks @toncho11 !) https://github.com/LuchnikovI/QGOpt