Quantum Machine Learning

3,957 papers

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 2413-2424 of 3,957

Deuterium oxide validation of bioimpedance total body water estimates in Hispanic adults

Grant M. Tinsley, Kyung-Shin Park, Catherine Saenz, Ayush Mehra, Michael R. Esco, Stefan A. Czerwinski, Brett S. Nickerson

2023 DOAJ Frontiers in Nutrition

Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models

Farina Riaz, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins

2023 arXiv arXiv preprint

Development of an Electronic Module (E-module) Based on Quantum Learning on Living Creatures Classification Material

Mellia Laura Pitri, Zelhendri Zen, Indrati Kusumaningrum, Fetri Yeni J

2023 Crossref Jurnal Penelitian Pendidikan IPA

Differentiable Quantum Architecture Search for Quantum Reinforcement Learning

Yize Sun, Yunpu Ma, Volker Tresp

2023 arXiv arXiv preprint

Differential Privacy Preserving Quantum Computing via Projection Operator Measurements

Yuqing Li, Yusheng Zhao, Xinyue Zhang, Hui Zhong, Miao Pan, Chi Zhang

2023 arXiv arXiv preprint

Digital Media Based On Quantum Learning to Increase Learning Motivation and Student Learning Activities In Mathematics

Sopian Dewi, Vera Mandailina, Mahsup Mahsup, Syaharuddin Syaharuddin, Mohammed Muniru Iddrisu, Abdul-Lateef Olamide AHMODU

2023 Crossref Media Pendidikan Matematika

Disparities in access to US quantum information education

Josephine C. Meyer, Gina Passante, Bethany R. Wilcox

2023 arXiv arXiv preprint

DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen

2023 arXiv arXiv preprint

Distributed Quantum Neural Networks via Partitioned Features Encoding

Yoshiaki Kawase

2023 arXiv arXiv preprint

Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

Maxwell T. West, Azar C. Nakhl, Jamie Heredge, Floyd M. Creevey, Lloyd C. L. Hollenberg, Martin Sevior, Muhammad Usman

2023 arXiv arXiv preprint

Dropout is all you need: robust two-qubit gate with reinforcement learning

Tian-Niu Xu, Yongcheng Ding, José D. Martín-Guerrero, Xi Chen

2023 arXiv arXiv preprint

Dynamic quantum circuit compilation

Kun Fang, Munan Zhang, Ruqi Shi, Yinan Li

2023 arXiv arXiv preprint