June 8, 2022, 1:12 a.m. | Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang

cs.CV updates on arXiv.org arxiv.org

Quantum computers are next-generation devices that hold promise to perform
calculations beyond the reach of classical computers. A leading method towards
achieving this goal is through quantum machine learning, especially quantum
generative learning. Due to the intrinsic probabilistic nature of quantum
mechanics, it is reasonable to postulate that quantum generative learning
models (QGLMs) may surpass their classical counterparts. As such, QGLMs are
receiving growing attention from the quantum physics and computer science
communities, where various QGLMs that can be efficiently …

arxiv learning networks neural networks quantum quantum neural networks

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