TY - GEN
T1 - Equalization for linear quantum channels
AU - Li, Yi
AU - James, Matthew
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - In order to compensate the distortion of communication channels, various equalization methodologies and algorithms have been proposed and practically applied in both wire and wireless communication. In order to employ the characteristics of quantum mechanics to improve communication efficiency and reliability, quantum states need to be recovered from the distortion of channels. This project proposes a novel structure which can be used to compensate quantum channel distortion. This structure could be implemented with quantum optical components.
AB - In order to compensate the distortion of communication channels, various equalization methodologies and algorithms have been proposed and practically applied in both wire and wireless communication. In order to employ the characteristics of quantum mechanics to improve communication efficiency and reliability, quantum states need to be recovered from the distortion of channels. This project proposes a novel structure which can be used to compensate quantum channel distortion. This structure could be implemented with quantum optical components.
UR - http://www.scopus.com/inward/record.url?scp=85046160011&partnerID=8YFLogxK
U2 - 10.1109/CDC.2017.8264588
DO - 10.1109/CDC.2017.8264588
M3 - Conference contribution
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 6161
EP - 6164
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -