qsvm

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

Covalent tutorial for Q-Site conference 2022

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

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.

Testing on the published article "Cross-Framework Benchmarking of Quantum Support Vector Machines on MNIST"

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.

Real-time network log analytics pipeline for lateral movement detection using Kafka, MongoDB, FastAPI, React, and comparative ML (XGBoost, Random Forest, SVM, Isolation Forest, Autoencoders, ECOD & QSVM).

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

Biometric Security System Powered by QRNG QFT QSVM Architecture

Quantum Support Vector Machine (QSVM) 6 qubit - Dataset: Bank Account Fraud

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.

🔬 Quantum Machine Learning-based Credit Card Fraud Detection using Qiskit QSVM with Quantum Kernels, deployed as a Flask web application for real-time fraud prediction.

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

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

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

Qiskit Fall Fest Kolkata Chapter Hackathon 2022 Project on QML

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

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.