Cover Image

Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maouaki, Walid El, Said, Taoufik, Bennai, Mohamed
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QFAL: Quantum Federated Adversarial Learning
by: Maouaki, Walid El, et al.
Published: (2025)

RobQFL: Robust Quantum Federated Learning in Adversarial Environment
by: Maouaki, Walid El, et al.
Published: (2025)

Designing Robust Quantum Neural Networks via Optimized Circuit Metrics
by: Maouaki, Walid El, et al.
Published: (2024)

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks
by: Maouaki, Walid El, et al.
Published: (2024)

RobQuNNs: A Methodology for Robust Quanvolutional Neural Networks against Adversarial Attacks
by: Maouaki, Walid El, et al.
Published: (2024)

Quantum Clustering for Cybersecurity
by: Maouaki, Walid El, et al.
Published: (2024)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2024)

Enhancing Quantum Support Vector Machines through Variational Kernel Training
by: Innan, Nouhaila, et al.
Published: (2023)

Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
by: Hafidi, My Youssef El, et al.
Published: (2025)

Simulation of a Variational Quantum Perceptron using Grover's Algorithm
by: Innan, Nouhaila, et al.
Published: (2023)

Q-RAIL: A Reliability-Aware Framework for Quantum Federated Learning on Heterogeneous Noisy Hardware
by: Maouaki, Walid El, et al.
Published: (2026)

QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
by: Innan, Nouhaila, et al.
Published: (2024)

Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks
by: Villalba-Ferreiro, Tomás, et al.
Published: (2025)

Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
by: Onim, Md Saif Hassan, et al.
Published: (2025)

LEP-QNN: Loan Eligibility Prediction using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Adiabatic Quantum Support Vector Machines
by: Date, Prasanna, et al.
Published: (2024)

Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
by: Sharma, Diksha, et al.
Published: (2024)

Quantum-Hybrid Support Vector Machines for Anomaly Detection in Industrial Control Systems
by: Cultice, Tyler, et al.
Published: (2025)

Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
by: Kumari, Swati, et al.
Published: (2025)

Quantum-Assisted Support Vector Regression
by: Dalal, Archismita, et al.
Published: (2021)

Classification of Financial Data Using Quantum Support Vector Machine
by: Bhattacharjee, Seemanta, et al.
Published: (2024)

Quantum Support Vector Regression for Robust Anomaly Detection
by: Tscharke, Kilian, et al.
Published: (2025)

Support Vector Machine Kernels as Quantum Propagators
by: Kuo, Nan-Hong, et al.
Published: (2025)

Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
by: Cultice, Tyler, et al.
Published: (2024)

Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)

Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy
by: Boutakka, Zakaria, et al.
Published: (2025)

FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
by: Kölle, Michael, et al.
Published: (2024)

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
by: Tscharke, Kilian, et al.
Published: (2023)

Benchmarking Quantum Kernel Support Vector Machines Against Classical Baselines on Tabular Data: A Rigorous Empirical Study with Hardware Validation
by: Kakavand, Siavash, et al.
Published: (2026)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

Quantum State Tomography using Quantum Machine Learning
by: Innan, Nouhaila, et al.
Published: (2023)

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
by: Behera, Bikash K., et al.
Published: (2025)

Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
by: Siddiqui, Owais Ishtiaq, et al.
Published: (2024)

Machine Failure Detection Based on Projected Quantum Models
by: Bowden, Larry, et al.
Published: (2026)

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?
by: Choi, Junggu, et al.
Published: (2025)

SWAP Attack: Stealthy Side-Channel Attack on Multi-Tenant Quantum Cloud System
by: Lee, Wei Jie Bryan, et al.
Published: (2025)

Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
by: Onim, Md. Saif Hassan, et al.
Published: (2025)

Quantum Machine Learning: Performance and Security Implications in Real-World Applications
by: Luo, Zhengping Jay, et al.
Published: (2024)

FiD-QAE: A Fidelity-Driven Quantum Autoencoder for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2025)