Generative Adversarial Learning Boosted by a Photonic Quantum Frequency Coprocessor
2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)(2023)
摘要
Quantum generative learning is a promising candidate to demonstrate practical quantum advantage on state-of-the-art quantum information processing devices in the near future. In particular, photonic quantum frequency coprocessors (QFPs) [1] leverage quantum-correlated light sources, a high degree of mode scalability, robustness to decoherence and integration with preexisting telecom infrastructure. As was demonstrated experimentally in previous work [2], phase control and deterministic frequency mixing allow to manipulate individual frequency modes and provide coherent control of tens of frequency modes for two photons.
更多查看译文
关键词
deterministic frequency mixing,generative adversarial learning boosted,individual frequency modes,photonic quantum frequency coprocessor,photonic quantum frequency coprocessor leverage quantum-correlated light sources,practical quantum advantage,quantum generative learning,state-of-the-art quantum information processing devices
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要