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 2605-2616 of 3,957
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Quantum neural networks with multi-qubit potentials.
Ban Y, Torrontegui E, Casanova J.
Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics
Apimuk Sornsaeng, Ninnat Dangniam, Thiparat Chotibut
Quantum optics in MATLAB
Nilakantha Meher
Quantum Privacy-Preserving Price E-Negotiation
Wen-Jie Liu, Chun-Tang Li, Yu Zheng, Yong Xu, Yin-Song Xu
Quantum Privacy-preserving Two-party Circle Intersection Protocol Based on Phase-encoded Query
Zi-Xian Li, Qi Yang, Bao Feng, Wen-Jie Liu
Quantum reservoir complexity by Krylov evolution approach
Laia Domingo, F. Borondo, Gastón Scialchi, Augusto J. Roncaglia, Gabriel G. Carlo, Diego A. Wisniacki
Quantum reservoir computing with repeated measurements on superconducting devices
Toshiki Yasuda, Yudai Suzuki, Tomoyuki Kubota, Kohei Nakajima, Qi Gao, Wenlong Zhang, Satoshi Shimono, Hendra I. Nurdin, Naoki Yamamoto
Quantum Searchable Encryption for Cloud Data Based on Full-Blind Quantum Computation
Wenjie Liu, Yinsong Xu, Wen Liu, Haibin Wang, Zhibin Lei
Quantum Secure Protocols for Multiparty Computations
Tapaswini Mohanty, Vikas Srivastava, Sumit Kumar Debnath, Pantelimon Stanica
Quantum sequential scattering model for quantum state learning
Mingrui Jing, Geng Liu, Hongbin Ren, Xin Wang
Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
Bhargav Ganguly, Yang Xu, Vaneet Aggarwal