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

Quantum kernel SVM for rapid Ebola strain triage (Bundibugyo · Zaire · Sudan · Non-HF). ZZFeatureMap encoding of 20 clinical features. Motivated by the 2026 DRC/Uganda Bundibugyo PHEIC. PennyLane · scikit-learn · imbalanced learning.

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

Quantum-Confidence Gated IDS — Suricata + LightGBM + 4-qubit QSVM. Senior project, Lusail University 2026.

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

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

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

Qiskit Fall Fest Kolkata Chapter Hackathon 2022 Project on QML

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.

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.

Implementation of a Quantum Support Vector Machine (QSVM) focused on detecting anomalies and fraudulent patterns in financial systems. The model utilizes a quantum feature map induced by the evolution of an Ising Hamiltonian to evaluate complex and non-convex decision topologies. The simulation backend is built with Qiskit

Benchmarking classical, graph, and quantum machine learning models for molecular property prediction on BACE, BBBP, and ClinTox.

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

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

Code for reproducing the experiment presented in the paper "Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach"

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.