pyRiemann/pyRiemann-qiskit
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
This tool helps researchers and engineers in Brain-Computer Interfaces (BCI) and EEG analysis by applying quantum machine learning to interpret brainwave data. It takes in EEG signals, processes them using advanced mathematical techniques, and outputs classifications that can reveal patterns related to brain states or responses. The end-users are scientists and practitioners working with neural data who want to explore cutting-edge quantum algorithms for complex pattern recognition.
Available on PyPI.
Use this if you are a BCI or EEG researcher looking to experiment with quantum-enhanced classification algorithms for your covariance matrix data, especially when traditional methods struggle with complex tasks or limited datasets.
Not ideal if you need real-time analysis or if you are working with extremely large datasets, as quantum algorithms can be computationally intensive and may experience delays with remote quantum hardware.
Stars
31
Forks
13
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Dependencies
16
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pyRiemann/pyRiemann-qiskit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
PennyLaneAI/pennylane
PennyLane is an open-source quantum software platform for quantum computing, quantum machine...
qiskit-community/qiskit-machine-learning
An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum...
netket/netket
Machine learning algorithms for many-body quantum systems
tencent-quantum-lab/tensorcircuit
Tensor network based quantum software framework for the NISQ era
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum...