Quantum Machine Learning

486 papers for year 2025

Quantum Machine Learning Research Context

This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.

Showing 121-132 of 486

End-to-end Optimization of Single-Shot Quantum Machine Learning for Bayesian Inference

Theodoros Ilias, Fangjun Hu, Marti Vives, Hakan E. Türeci

2025 arXiv arXiv preprint

Enhancing Circuit Fidelity in Transmon Qubit Rings via Operation Duration Tuning under Strong Connectivity Noise

Quan Fu, Xin Wang, Rui Xiong

2025 arXiv arXiv preprint

Enhancing Federated Learning Privacy with QUBO

Andras Ferenczi, Sutapa Samanta, Dagen Wang, Todd Hodges

2025 arXiv arXiv preprint

Enhancing Hybrid Methods in Parameterized Quantum Circuit Optimization

Joona V. Pankkonen, Matti Raasakka, Andrea Marchesin, Ilkka Tittonen

2025 arXiv arXiv preprint

Enhancing Molecular Machine Learning with Quantum-Chemical Descriptors and Hybrid Modeling

Belay Sitotaw Goshu

2025 Crossref International Journal of Advanced Nano Computing and Analytics

Enhancing Multi-Factor Authentication with Templateless 2D/3D Biometrics and PUF Integration for Securing Smart Devices

Saloni Jain, Amisha Bagri, Maxime Cambou, Dina Ghanai Miandoab, Bertrand Cambou

2025 DOAJ Cryptography

Enriching Earth Observation labeled data with Quantum Conditioned Diffusion Models

Francesco Mauro, Francesca De Falco, Lorenzo Papa, Andrea Ceschini, Alessandro Sebastianelli, Paolo Gamba, Massimo Panella, Silvia Ullo

2025 arXiv arXiv preprint

Enterprise Migration to Post-Quantum Cryptography: Timeline Analysis and Strategic Frameworks

Robert Campbell

2025 Crossref Computers

ENVIRONMENTAL SUSTAINABILITY OF RURAL WASTEWATER-TREATMENT PLANTS VIA LIFE-CYCLE ASSESSMENT WITH EMPHASIS ON CONSTRUCTED WETLANDS

ABDUL WAHED AHMADI, NILGUN BALKAYA

2025 Crossref Quantum Journal of Engineering, Science and Technology

Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things

Ratun Rahman, Dinh C. Nguyen

2025 arXiv arXiv preprint

Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative

Cassandre Notton, Vassilis Apostolou, Agathe Senellart, Anthony Walsh, Daphne Wang, Yichen Xie, Songqinghao Yang, Ilyass Mejdoub, Oussama Zouhry, Kuan-Cheng Chen, Chen-Yu Liu, Ankit Sharma, Edara Yaswanth Balaji, Soham Prithviraj Pawar, Ludovic Le Frioux, Valentin Macheret, Antoine Radet, Valentin Deumier, Ashesh Kumar Gupta, Gabriele Intoccia, Dimitri Jordan Kenne, Chiara Marullo, Giovanni Massafra, Nicolas Reinaldet, Vincenzo Schiano Di Cola, Danylo Kolesnyk, Yelyzaveta Vodovozova, Rawad Mezher, Pierre-Emmanuel Emeriau, Alexia Salavrakos, Jean Senellart

2025 arXiv arXiv preprint

Evaluating Large Language Models on Quantum Mechanics: A Comparative Study Across Diverse Models and Tasks

S. K. Rithvik

2025 arXiv arXiv preprint