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arxiv: math/0601741 · v1 · submitted 2006-01-30 · 🧮 math.OC · math-ph· math.MP· math.PR· quant-ph

An introduction to quantum filtering

classification 🧮 math.OC math-phmath.MPmath.PRquant-ph
keywords quantumfilteringintroductionprobabilitytheorycalculusconditionalconstruction
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This paper provides an introduction to quantum filtering theory. An introduction to quantum probability theory is given, focusing on the spectral theorem and the conditional expectation as a least squares estimate, and culminating in the construction of Wiener and Poisson processes on the Fock space. We describe the quantum It\^o calculus and its use in the modelling of physical systems. We use both reference probability and innovations methods to obtain quantum filtering equations for system-probe models from quantum optics.

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    Rigorous worst- and average-case error bounds show comparable worst-case scaling for digital and analog quantum simulators under perturbative noise, with distinct average-case error cancellation and concentration boun...