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variational-quantum-circuits

Here are 48 public repositories matching this topic...

Q-Edge

Research testbed for federated learning with hybrid quantum-classical models and post-quantum protection (ML-KEM, ML-DSA, secure aggregation). Reproducible results: a 4-qubit VQC head vs a matched classical head, robust aggregation vs poisoning, PQC cost per round. PennyLane, PyTorch, Flower, FastAPI.

  • Updated Oct 16, 2026
  • Python

An advanced exploration of Quantum Fourier Transform (QFT) using Quantum Machine Learning (QML). This project delves into the optimization of variational quantum circuits, leveraging machine learning techniques to evaluate and visualize the transformation capabilities of QFT in quantum computing.

  • Updated Nov 16, 2023
  • Jupyter Notebook

A controlled, reproducible comparison of a hybrid quantum-classical neural network with a parameter-matched classical network for detecting malicious insiders in enterprise activity logs.

  • Updated Oct 7, 2026
  • Jupyter Notebook

Framework di ricerca per la generazione di dati sintetici tabulari equi e interpretabili tramite Variational Quantum Circuits (VQC). Integra vincoli di fairness nel circuito, stima la purezza con qsalto (Bell sampling) e spiega il contributo causale delle porte quantistiche mediante Quantum Shapley Values (SVQX).

  • Updated Sep 26, 2026
  • Python

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