Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility
Haoran Ma,
Liao Ye,
Xiaoqing Guo
et al.
Abstract:Generative adversarial networks (GANs) have achieved remarkable success with realistic tasks such as creating realistic images, texts, and audio. Combining GANs and quantum computing, quantum GANs are thought to have an exponential advantage over their classical counterparts due to the stronger expressibility of quantum circuits. In this research, a two‐qubit silicon quantum photonic chip is created, capable of executing arbitrary controlled‐unitary () operations and generating any two‐qubit pure state, thus m… Show more
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