Quantum filtering using POVM measurements

The objective of this work is to develop a recursive, discrete time quantum filtering equation for a system that interacts with a probe, on which measurements are performed according to the Positive Operator Valued Measures (POVMs) framework. POVMs are the most general measurements one can make on a quantum system and although in principle they can be reformulated as projective measurements on larger spaces, for which filtering results exist, a direct treatment of POVMs is more natural and can simplify the filter computations for some applications. Hence we formalize the notion of strongly commuting (Davies) instruments which allows one to develop joint measurement statistics for POVM type measurements. This allows us to prove the existence of conditional POVMs, which is essential for the development of a filtering equation. We demonstrate that under generally satisfied assumptions, knowing the observed probe POVM operator is sufficient to uniquely specify the quantum filtering evolution for the system.

[1]  Vladimir B. Braginsky,et al.  Quantum Measurement , 1992 .

[2]  V. P. Belavkin,et al.  Quantum stochastic calculus and quantum nonlinear filtering , 1992 .

[3]  Robert Lynch,et al.  The quantum phase problem: a critical review , 1995 .

[4]  Thierry Paul,et al.  Quantum computation and quantum information , 2007, Mathematical Structures in Computer Science.

[5]  Joseph G Kupka Radon-Nikodym theorems for vector valued measures , 1972 .

[6]  V. P. Belavkin,et al.  Quantum Filtering of Markov Signals with White Quantum Noise , 2005, quant-ph/0512091.

[7]  Matthew R. James,et al.  A Discrete Invitation to Quantum Filtering and Feedback Control , 2009, SIAM Rev..

[8]  J. Dowling Exploring the Quantum: Atoms, Cavities, and Photons. , 2014 .

[9]  V. Belavkin THEORY OF THE CONTROL OF OBSERVABLE QUANTUM SYSTEMS , 2005 .

[10]  Dudley,et al.  Real Analysis and Probability: Measurability: Borel Isomorphism and Analytic Sets , 2002 .

[11]  C. Gardiner,et al.  Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics , 2004 .

[12]  Dominic Berry Adaptive Phase Measurements , 2002 .

[13]  Claus Kiefer,et al.  Quantum Measurement and Control , 2010 .

[14]  M. Sentís Quantum theory of open systems , 2002 .

[15]  A. Bensoussan Stochastic Control of Partially Observable Systems , 1992 .

[16]  Shapiro,et al.  Quantum phase measurement: A system-theory perspective. , 1991, Physical review. A, Atomic, molecular, and optical physics.

[17]  Matthew R. James,et al.  An Introduction to Quantum Filtering , 2006, SIAM Journal of Control and Optimization.