pyRiemann-qiskit
pyRiemann-qiskit copied to clipboard
pyRiemann
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
This is a quantum autoencoder, that we transformed into a sklearn transformer. The example illustrates a possible pipeline with RG. This is an early research, there are no positive results,...
I'm making this issue because this project is part of the [Qiskit ecosystem](https://qiskit.github.io/ecosystem/). As of June 2024, we're introducing a requirement that all projects are compatible with Qiskit 1.0. New...
Bumps [docplex](https://github.com/IBMDecisionOptimization/docplex) from 2.25.236 to 2.27.239. Changelog Sourced from docplex's changelog. <title>Changelog &[#8212](https://github.com/IBMDecisionOptimization/docplex/issues/8212); IBM&reg; Decision Optimization CPLEX&reg; Modeling for Python (DOcplex) V2.27 documentation</title> <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=fa44fd50" /> <link rel="stylesheet"...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [pyriemann](https://github.com/pyRiemann/pyRiemann) from 0.5 to 0.6. Release notes Sourced from pyriemann's releases. v0.6 version 0.6 Changelog Sourced from pyriemann's changelog. v0.6 (April 2024) Update pyRiemann from Python 3.7 to 3.8....
It does include many P300 and Motor Imagery datasets. It adapts both the paradigms and the pipelines. And most importantly it runs statistics to show if the results are significant...
- QAOA and VQC have a callaback method to get the loss. - In QAOA, SLSQP is the default optimizer. We should allow the user to parametrize it.
- Update to pyRiemann 0.6 - Re-enable example with distances visualization
The classification module is becoming big, and likely needs to be break down into smaller modules. In addition, it regroups classifier implementation (such as the NCH), and the wrapper (QuanticNCH)....
pyRiemann-qiskit distance and mean methods take an additional parameter "optimizer", as compared to pyRiemann. For these methods to be used within the pyRiemann MDM, we allow these methods to retrieve...
Current strategy: Using random samples for the hulls. Closest n matrices : For each class we calculate the closest n (n=10) matrices to the test sample. This will be done...