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Dynamic Programming Principle and Stabilization for Mean-Field Quantum Filtering Systems

arXiv
Authors: Sofiane Chalal, Nina H. Amini, Hamed Amini, Mathieu Laurière

Year

2026

Paper ID

714

Status

Preprint

Abstract Read

~2 min

Abstract Words

56

Citations

N/A

Abstract

Working within the quantum filtering framework, we establish a dynamic programming principle in an infinite-dimensional setting by embedding the state space into the Hilbert-Schmidt space. We then study a stabilization problem for continuously monitored Ising-coupled qubits and, in the mean-field limit, demonstrate quantum state reduction together with exponential convergence toward prescribed eigenstates under suitable feedback laws.

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  • Working within the quantum filtering framework, we establish a dynamic programming principle in an infinite-dimensional setting by embedding the state space into the...

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