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Decomposition of quantum Markov chains and its applications.
- Source :
-
Journal of Computer & System Sciences . Aug2018, Vol. 95, p55-68. 14p. - Publication Year :
- 2018
-
Abstract
- Markov chains have been widely employed as a fundamental model in the studies of probabilistic and stochastic communicating and concurrent systems. It is well-understood that decomposition techniques play a key role in reachability analysis and model-checking of Markov chains. (Discrete-time) quantum Markov chains have been introduced as a model of quantum communicating systems [1] and also a semantic model of quantum programs [2] . The BSCC (Bottom Strongly Connected Component) and stationary coherence decompositions of quantum Markov chains were introduced in [3–5] . This paper presents a new decomposition technique, namely periodic decomposition, for quantum Markov chains. We further establish a limit theorem for them. As an application, an algorithm to find a maximum dimensional noiseless subsystem of a quantum communicating system is given using decomposition techniques of quantum Markov chains. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00220000
- Volume :
- 95
- Database :
- Academic Search Index
- Journal :
- Journal of Computer & System Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 129153448
- Full Text :
- https://doi.org/10.1016/j.jcss.2018.01.005