3.8 Article

General criteria for quantum state smoothing with necessary and sufficient criteria for linear Gaussian quantum systems

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出版社

SPRINGER
DOI: 10.1007/s40509-020-00225-7

关键词

Open quantum systems; Quantum metrology; Quantum state estimation; Smoothing and linear Gaussian systems

资金

  1. Australian Research Council Centre of Excellence Program [CE170100012]
  2. Griffith University Postdoctoral Fellowship scheme

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Quantum state smoothing is a technique for estimating the quantum state of a partially observed quantum system, requiring the observer to understand unknown measurement records in order to obtain an accurate true state. Making incorrect assumptions may result in suboptimal or unrealizable smoothed states.
Quantum state smoothing is a technique for estimating the quantum state of a partially observed quantum system at time tau, conditioned on an entire observed measurement record (both before and after tau). However, this smoothing technique requires an observer (Alice, say) to know the nature of the measurement records that are unknown to her in order to characterize the possible true states for Bob's (say) systems. If Alice makes an incorrect assumption about the set of true states for Bob's system, she will obtain a smoothed state that is suboptimal, and, worse, may be unrealizable (not corresponding to a valid evolution for the true states) or even unphysical (not represented by a state matrix rho >= 0). In this paper, we review the historical background to quantum state smoothing, and list general criteria a smoothed quantum state should satisfy. Then we derive, for the case of linear Gaussian quantum systems, a necessary and sufficient constraint for realisability on the covariance matrix of the true state. Naturally, a realizable covariance of the true state guarantees a smoothed state which is physical. Itmight be thought that any putative true covariance which gives a physical smoothed state would be a realizable true covariance, but we show explicitly that this is not so. This underlines the importance of the realisability constraint.

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