VQE on photonic quantum devices
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Updated
Jan 15, 2026 - Python
VQE on photonic quantum devices
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible branch-transfer coherence-witness experiments executed via Qiskit Runtime on IBM Quantum hardware.
Surrogate benchmark for QAS. Includes code, datasets, and tools for fast evaluation and integration into custom QAS pipelines.
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.
Collections of quantum methods: variational algorithms and measurement optimizations
Variational Quantum Algorithms
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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