Quantum States Data Set
A comprehensive dataset containing entangled, separable, and bound-entangled multi-qubit states formatted for quantum machine learning benchmarks.
Open-source research codebases, numerical simulations, quantum machine learning models, and dataset repositories.
Welcome to my open-source code and software hub. In modern quantum research, open science and reproducibility are essential. Below you will find research codebases, Jupyter notebooks, datasets, and simulation packages supporting my publications in quantum information, open quantum systems, quantum machine learning, and quantum thermodynamics.
Feel free to clone, star, or contribute to any of the repositories on GitHub.
A comprehensive dataset containing entangled, separable, and bound-entangled multi-qubit states formatted for quantum machine learning benchmarks.
Many-body quantum battery simulations analyzing charging power, capacity, and ergotropy under Dzyaloshinskii–Moriya interactions and Heisenberg XXZ couplings.
Parameterised quantum circuits (PQCs) and quantum neural networks for entanglement and separability classification of multi-qubit states.
Open-access educational Jupyter notebooks covering quantum circuits, algorithms, state tomography, and error mitigation techniques.
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