Reproducible QML benchmark: VQC vs QSVM on binary tasks. Modular, cross-platform pipeline w/ artifact logging.
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Updated
Feb 12, 2026 - Python
Reproducible QML benchmark: VQC vs QSVM on binary tasks. Modular, cross-platform pipeline w/ artifact logging.
This repository creates the codes from the PT_VQC and U-VQSVD algorithms for process tomography. Contains testing, CI, Docker, Data storage with Postgresql and Pandas for full article see New J. Phys. 26 073017
This project implements Quantum Reinforcement Learning (QRL) for Portfolio Optimization using Variational Quantum Circuits (VQCs) for Quantum Neural Networks (QNNs) in Python 3.12.6. We leverage quantum computation to enhance the performance and speed up reinforcement learning tasks in dynamic financial applications.
A predictive algorithm to forecast the weather, chances of rain in particular, using a quantum approach.
Implementation of a Variational Quantum Classifier (VQC) to predict heart disease, created as the capstone project for the IBM and Freeya Mind Campus’ Road to Practitioner program.
Hybrid Quantum Neural Network Benchmarking
Quantum Machine Learning (QML) project that predicts suitable crops based on soil and environmental parameters using quantum-enhanced models. Built as a hybrid application combining classical preprocessing with quantum circuits (via Qiskit/PennyLane), this app demonstrates how quantum computing can be applied to real-world agricultural challenges.
Qute is a testing harness for Quantum simulation applied to threat informed anomaly detections.
A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.
Variational Quantum Circuit (VQC) for Lottery Prediction
Benchmark hybrid quantum-classical ML (VQC, QSVM) vs classical baselines on financial fraud detection
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