Abstract
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 Itô calculus and its use in the modeling of physical systems. We use both reference probability and innovations methods to obtain quantum filtering equations for system-probe models from quantum optics.
Original language | English (US) |
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Pages (from-to) | 2199-2241 |
Number of pages | 43 |
Journal | SIAM Journal on Control and Optimization |
Volume | 46 |
Issue number | 6 |
DOIs | |
State | Published - 2007 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Applied Mathematics
Keywords
- Quantum filtering
- Quantum probability
- Quantum stochastic processes