Quantum Machine Learning
4,009 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 1117-1128 of 4,009
Raw-Curve Quantum Fingerprints: A Mahalanobis Authentication Framework with Drift Early Warning and Adversarial Detection
Geyuyan Ma, Xiangdong Meng, Yangyang Fei, Zhiqiang Fan, Hanshi Zhao, Chenhui Wang, Haoran Yang, Weilong Wang, Zheng Shan
RBM-based simulated quantum annealing for graph isomorphism problems
Yukun Wang, Yingtong Shen, Lu Cao, Wenmin Han, Zhichao Zhang, Linchun Wan
Reaction Discovery Involving Digital co-Expert with a Practical Application in Atom-Economic Cycloaddition.
Kolomoets NI, Boiko DA, Romashov LV, Kozlov KS, Gordeev EG, Galushko AS, Ananikov VP
Real-Frequency Correlation Functions from Neural Quantum States via Operator Lanczos Approach
Rigo J, Schmitt M.
Real-Time Signal Processing on Transition-Edge Sensor for Confocal Spectral Microscopy
Koki Shirota, Takahiro Kikuchi, Kazuki Niwa, Tetsuya Tsuruta, Nobuhiko Nomura, Daiji Fukuda
Realization of measurement-based quantum computing model in fault-tolerant distributed quantum systems
Namisha Gupta, Divya Punia, Kumar Gautam, Geeta Sikka, Ajay K Sharma, Ahmed Farouk
Recent advances in sex-specific reproductive microphysiological systems for the systematic evaluation of assisted reproductive technology.
Jeong M, Park K, Jung D, Shin S, Lee J, Ko J, Bang S, Ahn J
Recent progress in electron energy loss spectroscopy with concurrent spatial and momentum resolution.
Song L, Mao R, Gao P
Recovering Lorentzian resonances buried in noise using deep neural networks
Lukas Weituschat, Martin Sanchez, Christer Everly, Pablo A. Postigo
Redefining resilience: A hybrid quantum-fuzzy Deep Q-Network paradigm for perpetual wireless rechargeable sensor networks
Riya Goyal, Abhinav Tomar
Reducing the Complexity of Matrix Multiplication to $O(N^2log_2N)$ by an Asymptotically Optimal Quantum Algorithm
Jiaqi Yao, Ding Liu
Reformulating Neural Operators in $d+1$ Dimensions for Embedding Evolution
Haoze Song, Zhihao Li, Xiaobo Zhang, Zecheng Gan, Zhilu Lai, Wei Wang