VQE on photonic quantum devices
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Jan 27, 2026 - Python
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variational-algorithms
Here are 9 public repositories matching this topic...
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible 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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Jan 26, 2026 - Python
Surrogate benchmark for QAS. Includes code, datasets, and tools for fast evaluation and integration into custom QAS pipelines.
benchmarking quantum-computing quantum-machine-learning quantum-circuits surrogate-models quantum-benchmarks quantum-architecture-search parametrized-quantum-circuits variational-algorithms
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Jan 22, 2026 - Jupyter Notebook
In this folder, I upload my learning about quantum computing applied to machine learning. Each project contains both the mathematical breakdown and the code. The order reflects how I developed them, allowing you to see my learning process and corrections.
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Dec 6, 2025 - Jupyter Notebook
Collections of quantum methods: variational algorithms and measurement optimizations
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Nov 13, 2024 - Jupyter Notebook
Variational Quantum Algorithms
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Mar 30, 2025 - Jupyter Notebook
Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.
research quantum-computing quantum-machine-learning masters-thesis qiskit cirq nisq hybrid-quantum-classical-algorithms quantum-neural-networks hybrid-models pennylane research-framework hybrid-ai hqnn variational-algorithms noise-robust-learning
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Jan 25, 2026 - Dockerfile
✨ Estimate quantum kernels for binary classification on IBM Quantum hardware while ensuring numerical stability and reproducibility in experiments.
machine-learning qml svm quantum-computing classification superconducting-qubits quantum-machine-learning qiskit ibm-quantum-computer feature-maps quantum-technology quantum-ml noise-modeling variational-algorithms quantum-kernels superconducting-computing ibm-quantum-hardware eagle-processor kernel-alignment
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Jan 30, 2026
This project implements a quantum optimization solution for the classic Max-Cut problem, using Variational Quantum Imaginary Time Evolution (varQITE) on a 4-node graph.
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Jul 11, 2025 - Jupyter Notebook
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