Fast embedding-based graph classification with connections to kernels
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Updated
May 6, 2020 - Python
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feature-maps
Here are 4 public repositories matching this topic...
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible “Wigner’s friend” branch-transfer coherence-witness experiments executed on superconducting quantum hardware.
machine-learning qml svm quantum-computing classification superconducting-qubits quantum-machine-learning qiskit ibm-quantum-computer feature-maps quantum-technology ibm-quantum quantum-ml noise-modeling variational-algorithms quantum-kernels superconducting-computing ibm-quantum-hardware eagle-processor kernel-alignment
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Jul 26, 2026 - Python
Interactive Streamlit app mapping PyTorch CNN activation maps (VGG16) directly to biological visual cortex regions (V1 to IT). Features live feature map extraction via forward hooks and neural heatmaps.
python computer-vision deep-learning neuroscience pytorch visual-cortex cnn-visualization streamlit feature-maps bio-inspired-ai
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Aug 1, 2026 - Python
PQC binary classifier for HEP signal/background separation. Four implementations across Qiskit and PyQuil.
machine-learning quantum-computing high-energy-physics hep binary-classification quantum-machine-learning qiskit pyquil feature-maps variational-quantum-circuits parametrized-quantum-circuits amplitude-embedding amplitude-encoding
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Jun 26, 2026 - Python
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