The Kalman Decomposition for Linear Quantum Stochastic Systems
Symeon Grivopoulos, Guofeng Zhang, Ian R. Petersen, John Gough

TL;DR
This paper presents a direct derivation of the Kalman decomposition for linear quantum stochastic systems using a symplectic SVD-like factorization, improving understanding of system structure in quantum control.
Contribution
It provides a direct derivation of the Kalman decomposition for linear quantum stochastic systems, utilizing a symplectic SVD-like factorization, which was previously derived indirectly.
Findings
Direct derivation of the Kalman decomposition
Utilization of symplectic SVD-like factorization
Enhanced understanding of quantum system structure
Abstract
The Kalman decomposition for Linear Quantum Stochastic Systems in the real quadrature operator representation, that was derived indirectly in [1] by the authors, is derived here directly, using the "one-sided symplectic" SVD-like factorization of [2] on the observability matrix of the system.
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Taxonomy
TopicsTarget Tracking and Data Fusion in Sensor Networks
