Compile hybrid-classical quantum-computing using our MLIR-based Quantum dialect
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Updated
Aug 24, 2026 - C++
Compile hybrid-classical quantum-computing using our MLIR-based Quantum dialect
Automated and reproducible benchmarking framework for quantum computing workflows.
collection of hybrid quantum-classical machine learning applications
Scripts and walkthrough Notebook of my undergraduate thesis entitled "Variational Quantum Eigensolver Implemented on a 1D Quantum Harmonic Oscillator"
Master’s thesis research framework for noise-robust hybrid quantum–classical neural networks (HQNNs), evaluating reliability, architecture design, and deployment strategies on NISQ hardware.
This repository contains the official implementation of the paper: "On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification", under review at the Artificial Intelligence in Medicine.
QGAN and Hybrid Quantum Classical NN source code
A RESTful Approach for Hybrid Quantum-Classical Circuit Modeling
Official code repository for the paper “Evaluating the performance of classical, quantum, and hybrid quantum neural networks in solving differential equations.”
Study on Hybrid Quantum-Classical neural networks, more precisely the effect of quantum algorithms on neural networks
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