Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning

Fuente: arXiv
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Main Authors: Liu, Yu-Hong, Tan, Qing-Shou, Kuang, Le-Man, Liao, Jie-Qiao
Format: Preprint
Published: 2025
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author Liu, Yu-Hong
Tan, Qing-Shou
Kuang, Le-Man
Liao, Jie-Qiao
author_facet Liu, Yu-Hong
Tan, Qing-Shou
Kuang, Le-Man
Liao, Jie-Qiao
contents Nonclassical mechanical states, as vital quantum resources for exploring macroscopic quantum behavior, have wide applications in the study of the fundamental quantum mechanics and modern quantum technology. In this work, we propose a scheme for deterministically generating non-classical mechanical states in cavity optomechanical systems. By working in the eigen-representation of the nonlinear optomechanical systems, we identify the carrier-wave resonance conditions and seek optimal driving pulses for state preparations. Concretely, we employ the reinforcement learning method to optimize the pulsed driving fields, effectively suppressing the undesired transitions induced by both the pulsed driving fields and dissipations. This approach enables the high-fidelity preparation of phononic Fock states and superposed Fock states in the single-resonator optomechanical systems, as well as two-mode entangled states in the two-resonator optomechanical systems. The statistical properties of the generated states are also examined. Our results create an opportunity for quantum state engineering in quantum optics and quantum information science via reinforcement learning.
format Preprint
id arxiv_https___arxiv_org_abs_2502_08350
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning
Liu, Yu-Hong
Tan, Qing-Shou
Kuang, Le-Man
Liao, Jie-Qiao
Quantum Physics
Nonclassical mechanical states, as vital quantum resources for exploring macroscopic quantum behavior, have wide applications in the study of the fundamental quantum mechanics and modern quantum technology. In this work, we propose a scheme for deterministically generating non-classical mechanical states in cavity optomechanical systems. By working in the eigen-representation of the nonlinear optomechanical systems, we identify the carrier-wave resonance conditions and seek optimal driving pulses for state preparations. Concretely, we employ the reinforcement learning method to optimize the pulsed driving fields, effectively suppressing the undesired transitions induced by both the pulsed driving fields and dissipations. This approach enables the high-fidelity preparation of phononic Fock states and superposed Fock states in the single-resonator optomechanical systems, as well as two-mode entangled states in the two-resonator optomechanical systems. The statistical properties of the generated states are also examined. Our results create an opportunity for quantum state engineering in quantum optics and quantum information science via reinforcement learning.
title Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning
topic Quantum Physics
url https://arxiv.org/abs/2502.08350