aiqbench analysis
This research advances the theoretical understanding of cavity optomechanical systems by demonstrating how non-Markovian regimes yield distinct two-time correlation functions compared to Markovian approximations. The study highlights that time-dependent analysis provides superior environmental insights over traditional spectral function methods, offering new tools for precision detection technologies. While the work relies on quantum mechanical principles, its primary contribution lies in refining the mathematical frameworks used to model and detect quantum states rather than introducing a novel AI algorithm or quantum computing architecture.
Non-Markovian two-time correlation functions for optomechanical systems
arXiv:2501.07678v4 Announce Type: replace Abstract: In this paper, we focus on the two-time correlation function (TTCF) of the cavity optomechanical system, which serves as the most popular tool in precision detection technologies. We utilize the stochastic Schrodinger equation approach to study TTCF for the cavity optomechanical system in the long-time steady state TTCF and time-dependent case. Our numerical simulations support two major conclusions: (1) long-time steady states in Markovian and non-Markovian regimes are different, resulting in the distinct TTCF, and (2) the time-dependent TTCF can reveal more information about the environment, rather than the traditional spectral function method.
Abstract:In this paper, we focus on the two-time correlation function (TTCF) of the cavity optomechanical system, which serves as the most popular tool in precision detection technologies. We utilize the stochastic Schrodinger equation approach to study TTCF for the cavity optomechanical system in the long-time steady state TTCF and time-dependent case. Our numerical simulations support two major conclusions: (1) long-time steady states in Markovian and non-Markovian regimes are different, resulting in the distinct TTCF, and (2) the time-dependent TTCF can reveal more information about the environment, rather than the traditional spectral function method.
arXiv admin note: text overlap with arXiv:2212.13362
arXiv:2501.07678 [quant-ph]
(or arXiv:2501.07678v4 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2501.07678 Focus to learn more arXiv-issued DOI via DataCite
Opt. Express 34, 31840-31855 (2026)
https://doi.org/10.1364/OE.607010 Focus to learn more DOI(s) linking to related resources
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Full text under the publisher's open licence · 204 words
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