Structures and Transformations for Model Reduction of Linear Quantum Stochastic Systems

TL;DR

This paper develops a theory for reducing the complexity of linear quantum stochastic systems, ensuring physical properties are preserved, and introduces new concepts like quasi-balanced realizations with practical error bounds.

Contribution

It introduces a model reduction framework for linear quantum stochastic systems, including subsystem truncation methods and conditions for balanced realizations under symplectic transformations.

Findings

Subsystem truncation preserves physical realizability.

Complete passivity is maintained under truncation.

Explicit error bounds for model reduction are provided.

Abstract

The purpose of this paper is to develop a model reduction theory for linear quantum stochastic systems that are commonly encountered in quantum optics and related fields, modeling devices such as optical cavities and optical parametric amplifiers, as well as quantum networks composed of such devices. Results are derived on subsystem truncation of such systems and it is shown that this truncation preserves the physical realizability property of linear quantum stochastic systems. It is also shown that the property of complete passivity of linear quantum stochastic systems is preserved under subsystem truncation. A necessary and sufficient condition for the existence of a balanced realization of a linear quantum stochastic system under sympletic transformations is derived. Such a condition turns out to be very restrictive and will not be satisfied by generic linear quantum stochastic systems, thus necessary and sufficient conditions for relaxed notions of simultaneous diagonalization of the controllability and observability Gramians of linear quantum stochastic systems under symplectic transformations are also obtained. The notion of a quasi-balanced realization is introduced and it is shown that all asymptotically stable completely passive linear quantum stochastic systems have a quasi-balanced realization. Moreover, an explicit bound for the subsystem truncation error on a quasi-balanceable linear quantum stochastic system is provided. The results are applied in an example of model reduction in the context of low-pass optical filtering of coherent light using a network of optical cavities.