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Communication Dans Un Congrès Année : 2022

Parameter Estimation for Quantum Trajectories: Convergence Result

Mael Bompais
Nina Amini

Résumé

A quantum trajectory describes the evolution of a quantum system undergoing indirect measurement. In the discrete-time setting, the state of the system is updated by applying Kraus operators according to the measurement results. From an experimental perspective, these Kraus operators can depend on unknown physical parameters p. An interesting and powerful method has been proposed in [1] to estimate a parameter in a finite set; however, complete results of convergence were lacking. This article fills this gap by rigorously showing the consistency of the method, whereas there was only numerical evidence so far. When the parameter belongs to a continuous set, we propose an algorithm to approach its value and show simulation results.

Dates et versions

hal-03741045 , version 1 (31-07-2022)

Identifiants

Citer

Mael Bompais, Nina Amini, Clément Pellegrini. Parameter Estimation for Quantum Trajectories: Convergence Result. 61st IEEE Conference on Decision and Control (CDC 2022), Dec 2022, Cancún, Mexico. ⟨10.1109/cdc51059.2022.9992617⟩. ⟨hal-03741045⟩
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