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 3817-3828 of 3,957
Experimental Realization of Quantum Artificial Intelligence
Li Zhaokai, Liu Xiaomei, Xu Nanyang, Du jiangfeng
Exponential rise of dynamical complexity in quantum computing through projections.
Burgarth DK, Facchi P, Giovannetti V, Nakazato H, Pascazio S, Yuasa K.
Field and long-term demonstration of a wide area quantum key distribution network
Shuang Wang, Wei Chen, Zhen-Qiang Yin, Hong-Wei Li, De-Yong He, Yu-Hu Li, Zheng Zhou, Xiao-Tian Song, Fang-Yi Li, Dong Wang, Hua Chen, Yun-Guang Han, Jing-Zheng Huang, Jun-Fu Guo, Peng-Lei Hao, Mo Li, Chun-Mei Zhang, Dong Liu, Wen-Ye Liang, Chun-Hua Miao, Ping Wu, Guang-Can Guo, Zheng-Fu Han
Hybrid architecture for encoded measurement-based quantum computation.
Zwerger M, Briegel HJ, Dür W.
Implementing a strand of a scalable fault-tolerant quantum computing fabric.
Chow JM, Gambetta JM, Magesan E, Abraham DW, Cross AW, Johnson BR, Masluk NA, Ryan CA, Smolin JA, Srinivasan SJ, Steffen M.
Machine learning for discriminating quantum measurement trajectories and improving readout
Easwar Magesan, Jay M. Gambetta, A. D. Córcoles, Jerry M. Chow
Microcontroller-based locking in optics experiments
K. Huang, H. Le Jeannic, J. Ruaudel, O. Morin, J. Laurat
Optical modular arithmetic
Dmitri S. Pavlichin, Hideo Mabuchi
Optimal ancilla-free Clifford+V approximation of z-rotations
Neil J. Ross
Practical sharing of quantum secrets over untrusted channels
Anne Marin, Damian Markham
Quantum algorithms for topological and geometric analysis of big data
Seth Lloyd, Silvano Garnerone, Paolo Zanardi
Quantum arithmetic with the Quantum Fourier Transform
Lidia Ruiz-Perez, Juan Carlos Garcia-Escartin