Quantum filtering: a reference probability approach
arXiv:math-ph/0508006
Abstract
These notes are intended as an introduction to noncommutative (quantum) filtering theory. An introduction to quantum probability theory is given, focusing on the spectral theorem and the conditional expectation as the least squares estimate, and culminating in the construction of Wiener and Poisson processes on the Fock space. Next we describe the Hudson-Parthasarathy quantum Ito calculus and its use in the modelling of physical systems. Finally, we use a reference probability method to obtain quantum filtering equations, in the Belavkin-Zakai (unnormalized) form, for several system-observation models from quantum optics. The normalized (Belavkin-Kushner-Stratonovich) form is obtained through a noncommutative analogue of the Kallianpur-Striebel formula.
28 pages; see also math-ph/0511021 and math.OC/0601741
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- On the separation principle of quantum control
- Optimal error tracking via quantum coding and continuous syndrome measurement
- How to estimate past measurement interventions on a quantum system undergoing continuous monitoring
- Non-Markovian Quantum Feedback Networks II: Controlled Flows
- Continuous Measurement and Stochastic Methods in Quantum Optical Systems
- The Gisin-Percival Stochastic Schrödinger Equation from Standard Quantum Filtering Theory
- Stochastic Master Equations in Thermal Environment
- Quantum Stochastic Stability