On the Quasi-Balanceable Class of Linear Quantum Stochastic Systems
Onvaree Techakesari, Hendra I. Nurdin

TL;DR
This paper refines the understanding of quasi-balanceable linear quantum stochastic systems, showing they include all systems with pure Gaussian steady-states, and provides new characterizations and parameterizations.
Contribution
It extends the class of quasi-balanceable systems beyond completely passive systems and offers a new characterization based on the controllability Gramian.
Findings
All systems with pure Gaussian steady-states are quasi-balanceable.
The class of quasi-balanceable systems is larger than previously known.
New parameterization for systems with pure Gaussian steady-states.
Abstract
This paper concerns the recently proposed quasi-balanced truncation model reduction method for linear quantum stochastic systems. It has previously been shown that the quasi-balanceable class of systems (i.e. systems that can be truncated via the quasi-balanced method) includes the class of completely passive systems. In this work, we refine the previously established characterization of quasi-balanceable systems and show that the class of quasi-balanceable systems is strictly larger than the class of completely passive systems. In particular, we derive a novel characterization of completely passive linear quantum stochastic systems solely in terms of the controllability Gramian of such systems. Exploiting this result, we prove that all linear quantum stochastic systems with a pure Gaussian steady-state (active systems included) are all quasi-balanceable, and establish a new complete…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModel Reduction and Neural Networks · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
