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Single-photon quantum filtering with multiple measurements
- Source :
- International Journal of Adaptive Control and Signal Processing. 32:528-546
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- The single-photon quantum filtering problems have been investigated recently with applications in quantum computing. In practice, the detector responds with a quantum efficiency of less than unity since there exists some mode mismatch between the detector and the system and the single-photon signal may be corrupted by quantum white noise. Consequently, quantum filters based on multiple measurements are designed in this paper to improve estimation performance. More specifically, the filtering equations for a 2-level quantum system driven by a single-photon input state and under multiple measurements are presented in this paper. Four scenarios, ie, (1) 2 diffusive measurements with Q-P quadrature form, (2) 2 diffusive measurements with Q-Q quadrature form, (3) diffusive plus Poissonian measurements, and (4) 2 Poissonian measurements, are considered. It is natural to compare the filtering results, ie, measuring a single channel or both channels, which one is better? By the simulation where we use a single photon to excite an atom, it seems that multiple measurements enable us to excite the atom with higher probability than only measuring a single channel. In addition, a measurement back-action phenomenon is revealed by the simulation results.
- Subjects :
- Physics
0209 industrial biotechnology
Photon
Detector
02 engineering and technology
White noise
01 natural sciences
Photon counting
Computational physics
020901 industrial engineering & automation
Control and Systems Engineering
0103 physical sciences
Signal Processing
Quantum system
Quantum efficiency
Electrical and Electronic Engineering
010306 general physics
Quantum
Quantum computer
Subjects
Details
- ISSN :
- 08906327
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- International Journal of Adaptive Control and Signal Processing
- Accession number :
- edsair.doi...........f3ac976b95d04a7c229838bfe2c2a697