2016 IEEE 55th Conference on Decision and Control (CDC) 2016
DOI: 10.1109/cdc.2016.7798962
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On transfer function realizations for Linear Quantum Stochastic Systems

Abstract: Abstract-The realization of transfer functions of Linear Quantum Stochastic Systems (LQSSs) is an issue of fundamental importance for the practical applications of such systems, especially as coherent controllers for other quantum systems. In this paper, we review two realization methods proposed by the authors in [1], [2], [3], [4]. The first one uses a cascade of a static linear quantum-optical network and single-mode optical cavities, while the second uses a feedback network of such cavities, along with sta… Show more

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Cited by 4 publications
(4 citation statements)
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“…where s is a complex variable, I is the identity matrix, and 2 ) + i (38) for Re{s} > 0. For this derivation we have treated ABCD matrices and H(s) as matrices when they are scalars in a 1port network like the lumped LC problem we developed in this article.…”
Section: Transfer Functionmentioning
confidence: 99%
“…where s is a complex variable, I is the identity matrix, and 2 ) + i (38) for Re{s} > 0. For this derivation we have treated ABCD matrices and H(s) as matrices when they are scalars in a 1port network like the lumped LC problem we developed in this article.…”
Section: Transfer Functionmentioning
confidence: 99%
“…In classical systems, the transfer function H(s) (or transfer matrix in multiport networks) serves as a way to model characteristic solutions of time-invariant input-output problems in the Laplace domain [31,32]. Similarly, a transfer function for linear quantum networks with many (usually quadratic) degrees of freedom can be constructed from a state-space representation [37][38][39][40][41][42][43] using Eq. (36a)-(36b).…”
Section: Transfer Functionmentioning
confidence: 99%
“…Until now, formulating a physical realization of a given quantum filter with a desired frequency response required a combination of intuition and prior experience, making more complicated frequency responses difficult to engineer. We adopt the general formalism for describing linear stochastic quantum networks and the synthesis of such networks, recently developed by the quantum control community [12,[19][20][21][22][23][24][25][26][27][28][29][30][31]. This allows us in this paper to develop a formalism for systematically realizing quantum filters for high-precision measurements directly from their frequency-domain transfer matrices.…”
Section: Introductionmentioning
confidence: 99%