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Parameter estimation and system identification for continuously-observed quantum systems
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DOI：10.1016/j.arcontrol.2022.04.012.png)
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Abstract
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This paper gives an overview of parameter estimation and system identification for quantum input-output systems by continuous observation of the output field. We present recent results on the quantum Fisher information of the output with respect to unknown dynamical parameters. We discuss the structure of continuous-time measurements as solutions of the quantum Zakai equation, and their relationship to parameter estimation methods. Proceeding beyond parameter estimation, the paper also gives an overview of the emerging topic of quantum system identification for black-box modelling of quantum systems by continuous observation of a travelling wave probe, for the case of ergodic quantum input-output systems and linear quantum systems. Empirical methods for such black-box modelling are also discussed.
Keywords:
Quantum parameter estimation
Quantum system identification
Continuous quantum measurement
Quantum input-output systems
Quantum Markov models
Quantum filtering
Maximum likelihood estimation
Bayesian estimation
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