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A single-point measurement scheme for quantum work based on the squeezing state

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摘要 To investigate the role of initial quantum coherence in work-probability distribution,it is necessary to consider an incomplete or partial measurement,in which the energy cannot be fully discriminated by the detector.In this paper,we use a harmonic oscillator with a coherent or squeezing state to realize this incomplete or partial measurement,and propose a unified framework of quantum work statistics for a closed system with an arbitrary initial state.We find that work is proportional to the change of the real part of the coherent state parameter,i.e.,quantum work can be estimated by the coherent state parameter.The resulting work-probability distribution includes the initial quantum coherence,and can be reduced to the result of the traditional two projective energy measurement scheme(TPM)by squeezing the state of the harmonic oscillator.Our measurement scheme reveals the fundamental connections between measurement error and coherent work.By introducing a‘coherent work-to-noise ratio’,we find the optimal measurement error,which is determined by the energy difference between the superposed energy levels.As an application,we consider a driven two-level system and investigate the effects of driving velocity on work statistics.We find that only when the driving velocity matches the transition frequency of the system can initial quantum coherence play an important role.
作者 Bao-Ming Xu Jian Zou Zhan-Chun Tu 徐宝明;邹健;涂展春(Shandong Key Laboratory of Biophysics,Institute of Biophysics,Dezhou University,Dezhou 253023,China;School of Physics,Beijing Institute of Technology,Beijing 100081,China;Department of Physics,Beijing Normal University,Beijing 100875,China)
出处 《Communications in Theoretical Physics》 SCIE CAS CSCD 2021年第6期51-58,共8页 理论物理通讯(英文版)
基金 the support of the National Natural Science Foundation of China through Grant No. 11 705 099 the support of the National Natural Science Foundation of China through Grant No. 11 675 017 the support of the National Natural Science Foundation of China through Grant No. 11 775 019 the Talent Introduction Project of Dezhou University of China through Grant No. 30 101 437。
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