Quantum Support Vector Machine (QSVM) Template supporting the Google TensorFlow and PyTorch packages.

Using Quantum Machine Learning to enhance Classification and Regression Machine Learning Models

Covalent tutorial for Q-Site conference 2022

Оптимизация дорожного трафика на графе городских улиц с использованием квантово‑вдохновлённых методов

Benchmarking classical SVMs vs. quantum SVMs (QSVM) using Qiskit simulators. Includes parity datasets, PCA experiments, and reproducible pipelines demonstrating quantum advantage, neutrality, and disadvantage.

Empirical comparison of Quantum vs Classical SVMs on credit risk data (University Project)

This project aims to implement Quantum Support Vector Machines (QSVM) on actual quantum devices and simulators using the Qiskit library in conjunction with Amazon Braket (AWS). The core objective is to evaluate and compare the performance efficiency of QSVM implementations across various quantum hardware and simulation environments.

Notebooks for the Seminar in ETSIT (UPM) - Master of Science in Signal Theory and Communication (Track: SIGNAL PROCESSING AND MACHINE LEARNING FOR BIG DATA).

Hybrid-Forecasting-and-Trend-Detection-of-Sea-Level-Rise

Detecting financial fraud using Quantum Support Vector Machines (QSVM). Built with Python, Qiskit, and Scikit-Learn to explore hybrid quantum-classical finance algorithms.

Benchmark hybrid quantum-classical ML (VQC, QSVM) vs classical baselines on financial fraud detection

Qiskit Fall Fest Kolkata Chapter Hackathon 2022 Project on QML

A modular and extensible quantum machine learning framework supporting customizable models, encoders, kernels, and quantum providers for research and prototyping.

Comparative implementation and analysis of Classical Support Vector Machines (SVM) and Quantum Support Vector Machines (QSVM) for classification tasks, exploring quantum advantage in machine learning.