TY - JOUR
T1 - Linear quantum systems: A tutorial
AU - Zhang, Guofeng
AU - Dong, Zhiyuan
N1 - Funding Information:
This work is partially supported by the Hong Kong Research Grant council (RGC) grants (No. 15203619 and No. 15208418 ), the Shenzhen Fundamental Research Program, China under the Grant No. JCYJ20190813165207290 , the National Natural Science Foundation of China (NSFC) grants (No. 6217023269 , No. 62003111 ), the CAS AMSS-PolyU Joint Laboratory of Applied Mathematics, China , and the Natural Science Foundation of Guangdong Province[http://dx.doi.org/10.13039/501100003453] under the Grant No. 2022A1515010390 .
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - Quantum coherent feedback networks
KW - Quantum Kalman canonical form
KW - Quantum Kalman filter
KW - Quantum linear control systems
UR - http://www.scopus.com/inward/record.url?scp=85130956018&partnerID=8YFLogxK
U2 - 10.1016/j.arcontrol.2022.04.013
DO - 10.1016/j.arcontrol.2022.04.013
M3 - Journal article
AN - SCOPUS:85130956018
SN - 1367-5788
VL - 54
SP - 274
EP - 294
JO - Annual Reviews in Control
JF - Annual Reviews in Control
ER -