Reproducible QML benchmark: VQC vs QSVM on binary tasks. Modular, cross-platform pipeline w/ artifact logging.

Scalable Quantum Neural Network builds and trains a large-scale QNN in a modular fashion. SQNN is evaluated with a binary classification task on the MNIST dataset.

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

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

A predictive algorithm to forecast the weather, chances of rain in particular, using a quantum approach.

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.

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.

Built a hybrid quantum–classical classifier for the Fashion-MNIST dataset using PyTorch and PennyLane, integrating a CNN feature extractor with a 4-qubit Variational Quantum Circuit.

Qiskit Fall Fest Kolkata Chapter Hackathon 2022 Project on QML

Variational Quantum Circuit (VQC) for Lottery Prediction

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.

🧠 Classify handwritten digits using a hybrid quantum-classical neural network with Qiskit and PyTorch, showcasing quantum computing's power in machine learning.