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科学家基于腔模稳态实现了对手性分子的近乎完美区分
作者:小柯机器人 发布时间:2023/5/31 16:38:23

近日,哈尔滨工业大学的宋杰课题组与福州大学的夏岩等人合作,并取得一项新进展。经过不懈努力,他们通过利用腔模稳态,成功实现了对手性分子的近乎完美区分。相关研究成果已于2023年5月26日在国际知名学术期刊《物理评论A》上发表。

该研究团队提出了一种基于腔模稳态的手性分子区分方案。利用分子的闭环三能级结构,研究人员得到了分子-腔耦合系统的有效哈密顿量。该哈密顿量类似于对腔模态的线性驱动,但其驱动强度取决于分子的手性。在存在光子损耗的情况下,腔的行为类似于被驱动的阻尼谐振子,且其稳态相干态的演化受分子手性的影响。通过选择适当的参数,他们可以获得具有足够大振幅的稳态相干态,并通过对腔的零差测量来准确确定它们。

因此,根据腔的测量结果,研究人员可以几乎完美地区分分子的手性。数值模拟结果显示,该方案对于控制场的系统误差和分子的能量弛豫不敏感。因此,该方案为实现高精度手性区分提供了一种有效途径。

附:英文原文

Title: Near-perfect discrimination of chiral molecules based on steady states of a cavity mode

Author: Yi-Hao Kang, Zhe-Ping Lin, Jian-Qun Yang, Jie Song, Yan Xia

Issue&Volume: 2023/05/26

Abstract: We propose a protocol to realize discrimination of chiral molecules based on steady states of a cavity mode. Using the closed-loop three-level structure of a molecule, an effective Hamiltonian of the molecule-cavity-coupled system is derived. The effective Hamiltonian is similar to a linear driving of the cavity mode, but the driving strength depends on the chirality of the molecule. In the presence of photon loss, the cavity behaves like a driven damped harmonic oscillator, and it will evolve to different steady coherence states according to the chirality of the molecule. By selecting proper parameters, it is possible to obtain steady coherence states with large-enough amplitudes that can be well determined by homodyne measurements on the cavity. Consequently, the chirality of the molecules can be discriminated near perfectly, according to the measurement result of the cavity. Numerical simulations show that the protocol is insensitive to the systematic errors of the control fields and the energy relaxation of the molecules. Therefore, the protocol may provide an effective approach to realize chirality discrimination with high accuracy.

DOI: 10.1103/PhysRevA.107.053714

Source: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.107.053714

期刊信息

Physical Review A:《物理评论A》,创刊于1970年。隶属于美国物理学会,最新IF:2.97
官方网址:https://journals.aps.org/pra/
投稿链接:https://authors.aps.org/Submissions/login/new