Efficient and Robust Entanglement Generation with Deep Reinforcement Learning for Quantum Metrology
Yuxiang Qiu,
Min Zhuang,
Jiahao Huang
et al.
Abstract:Quantum metrology exploits quantum resources and strategies to improve measurement precision of unknown parameters. One crucial issue is how to prepare a quantum entangled state suitable for high-precision measurement beyond the standard quantum limit. Here, we propose a scheme to find optimal pulse sequence to accelerate the one-axis twisting dynamics for entanglement generation with the aid of deep reinforcement learning (DRL). We consider the pulse train as a sequence of π/2 pulses along one axis or two ort… Show more
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