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arxiv: 1406.4599 · v3 · pith:AYBVLQIBnew · submitted 2014-06-18 · 🧮 math-ph · math.MP· math.OC· quant-ph

On the generalization of linear least mean squares estimation to quantum systems with non-commutative outputs

classification 🧮 math-ph math.MPmath.OCquant-ph
keywords non-commutativeestimationproblemsignalconditionsfilterleastmean
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The purpose of this paper is to study the problem of generalizing the Belavkin-Kalman filter to the case where the classical measurement signal is replaced by a fully quantum non-commutative output signal. We formulate a least mean squares estimation problem that involves a non-commutative system as the filter processing the non-commutative output signal. We solve this estimation problem within the framework of non-commutative probability. Also, we find the necessary and sufficient conditions which make these non-commutative estimators physically realizable. These conditions are restrictive in practice.

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