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, continuous integration (CircleCi), full article see New J. Phys. 26 073017
A predictive algorithm to forecast the weather, chances of rain in particular, using a quantum approach.
Hybrid Quantum Neural Network Benchmarking
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.
Variational Quantum Circuit (VQC) for Lottery Prediction
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.
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.
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.
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