DocumentCode
883976
Title
Quantum Markovian Subsystems: Invariance, Attractivity, and Control
Author
Ticozzi, Francesco ; Viola, Lorenza
Author_Institution
Dipt. di Ing. dell´´Inf., Univ. di Padova, Padova
Volume
53
Issue
9
fYear
2008
Firstpage
2048
Lastpage
2063
Abstract
We characterize the dynamical behavior of continuous-time, Markovian quantum systems with respect to a subsystem of interest. Markovian dynamics describes a wide class of open quantum systems of relevance to quantum information processing, subsystem encodings offering a general pathway to faithfully represent quantum information. We provide explicit linear-algebraic characterizations of the notion of invariant and noiseless subsystem for Markovian master equations, under different robustness assumptions for model-parameter and initial-state variations. The stronger concept of an attractive quantum subsystem is introduced, and sufficient existence conditions are identified based on Lyapunov´s stability techniques. As a main control application, we address the potential of output-feedback Markovian control strategies for quantum pure state-stabilization and noiseless-subspace generation. In particular, explicit results for the synthesis of stabilizing semigroups and noiseless subspaces in finite-dimensional Markovian systems are obtained.
Keywords
Lyapunov methods; Markov processes; continuous time systems; control system analysis; quantum statistical mechanics; stability; Lyapunov stability technique; Markovian master equations; continuous-time system; finite-dimensional Markovian systems; quantum Markovian subsystems; quantum information processing; subsystem encodings; Astronomy; Control systems; Differential equations; Encoding; Error correction; Information processing; Physics; Quantum mechanics; Robustness; Stability; Noiseless subsystems (NSs); quantum information processing (QIP);
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2008.929399
Filename
4639467
Link To Document