Quantum risk-sensitive control
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D'Helon, Cassius
Doherty, A C
James, Matthew
Wilson, Stuart
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
The purpose of this paper is to describe some recent results concerning optimal feedback control of quantum systems using risk-sensitive performance criteria. We employ quantum stochastic models to describe an important class of quantum systems and define a risk-sensitive criterion for these models. A suitable information state is introduced to solve the optimal control problem using dynamic programming. The results are illustrated by examples.
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Proceedings of the 45th IEEE Conference on Decision and Control
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2037-12-31
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