Linear quantum systems: a tutorial

TL;DR

This tutorial introduces the mathematical modeling, control-theoretic concepts, and practical applications of linear quantum control systems, including Gaussian states, quantum filtering, and feedback control, with recent experimental demonstrations.

Contribution

It provides a comprehensive overview of linear quantum control systems, integrating theory, state representations, filtering, and experimental validation in a tutorial format.

Findings

Quantum Kalman filter effectively estimates system states.

Quantum linear systems respond predictably to photon inputs.

Recent experiments validate the control strategies discussed.

Abstract

The purpose of this tutorial is to give a brief introduction to linear quantum control systems. The mathematical model of linear quantum control systems is presented first, then some fundamental control-theoretic notions such as stability, controllability and observability are given, which are closely related to several important concepts in quantum information science such as decoherence-free subsystems, quantum non-demolition variables, and back-action evasion measurements. After that, quantum Gaussian states are introduced, in particular, an information-theoretic uncertainty relation is presented which often gives a better bound for mixed Gaussian states than the well-known Heisenberg uncertainty relation. The quantum Kalman filter is presented for quantum linear systems, which is the quantum analogy of the Kalman filter for classical (namely, non-quantum-mechanical) linear systems. The quantum Kalman canonical decomposition for quantum linear systems is recorded, and its application is illustrated by means of a recent experiment. As single- and multi-photon states are useful resources in quantum information technology, the response of quantum linear systems to these types of input is presented. Finally, coherent feedback control of quantum linear systems is briefly introduced, and a recent experiment is used to demonstrate the effectiveness of quantum linear systems and networks theory.dback control of quantum linear systems is briefly introduced, and a recent experiment is used to demonstrate the effectiveness of quantum linear systems and networks theory.