Optimization of quantum observation and control

作者: V. P. Belavkin

DOI: 10.1007/BFB0036387

关键词: QuantumApplied mathematicsOptimal controlMarkov processDecision theoryMathematicsDynamical systemGaussianSequenceKalman filter

摘要: A multi-stage version of the statistical decision theory applied to optimal control problem in a Markovian dynamical system with quantum-mechanical observation is developed. Quantum analogies Stratonovich non-stationary discrete filtering and Bellman quantum programming are obtained. It shown that strategy Gaussian case linearly controlled observed by means linear communication channel mean square criteria consists sequence coherent measurements, data which processed Kalman filter, classical rule.

参考文章(1)
Carl Wilhelm Helstrom, Quantum detection and estimation theory ,(1969)