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非马尔可夫纠缠通过参数介导的分子腔光力学实现

Non-Markovian Entanglement via Parametrically Mediated Molecular Cavity Optomechanics

Wenyao Hu, H. N. Liu, X. C. Zhang, Cheng Shang, Yan-Hui Zhou, H. Z. Shen

arXiv 2610.02895首次发表:更新:

发表机构

Northeast Normal University; RIKEN Center for Quantum Computing (RQC); Shangrao Normal University(东北师范大学; 理化学研究所量子计算中心; 上饶师范学院)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出通过调控简并光学参量放大器的强度与相位,并利用非马尔可夫效应,在分子腔光力学系统中增强光-振动纠缠、再生振动-振动纠缠,实现室温下鲁棒的量子纠缠操控。

AI 中文摘要

分子腔光力学(COM)系统中的量子纠缠是探索量子增强传感、相干分子动力学和量子信息处理的基本资源,已在马尔可夫近似下得到研究,但尚未在非马尔可夫储库中探索。本文提出了一种在马尔可夫近似下,通过耦合简并光学参量放大器(DOPA)来操控分子COM系统中量子纠缠的方案。我们揭示了DOPA的强度和相位均可调节,以增强光-振动纠缠并抑制振动-振动纠缠。光-振动纠缠可以在室温下存在,显示出对热噪声的强鲁棒性。此外,我们将结果从马尔可夫扩展到非马尔可夫区域,在DOPA固定时,这可以进一步增强两种类型的纠缠。特别地,我们发现非马尔可夫效应可以逆转DOPA对振动-振动纠缠的影响,从抑制变为增强,导致纠缠的再生。该方案通过调控DOPA和非马尔可夫效应,为控制和增强分子COM系统中的量子纠缠提供了一种有效途径。

英文摘要

Quantum entanglement in molecular cavity optomechanical (COM) systems serves as a fundamental resource to explore quantum-enhanced sensing, coherent molecular dynamics, and quantum information processing, which has been studied under Markovian approximation but not yet explored in non-Markovian reservoirs. In this paper, we propose a scheme to manipulate quantum entanglement in molecular COM system coupling with degenerate optical parametric amplifier (DOPA) under Markovian approximation. We reveal that both strength and phase of DOPA can be tuned to enhance optical-vibration entanglement and suppress vibration-vibration entanglement. The optical-vibration entanglement can exist at room temperature, demonstrating strong robustness against thermal noise. Moreover, we extend results from Markovian to non-Markovian regimes, which can further enhance both types of entanglement with DOPA fixed. In particular, we find that non-Markovian effects can reverse influences of DOPA on vibration-vibration entanglement from suppression to enhancement, leading to regeneration of entanglement. The scheme provides an effective way to control and enhance quantum entanglement in molecular COM system through steering DOPA and non-Markovian effects.

Comments17 pages, 16 figures

论文原文

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