Quantum Receiver Enhanced by Adaptive Learning

Chaohan Cui; William Horrocks; Saikat Guha; N. Peyghambarian; Quntao Zhuang; Zheshen Zhang

Quantum Receiver Enhanced by Adaptive Learning

Chaohan Cui, William Horrocks, Saikat Guha, N. Peyghambarian, Quntao Zhuang, Zheshen Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.

Original language	English (US)
Title of host publication	CLEO
Subtitle of host publication	QELS_Fundamental Science, QELS 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2022
Event	CLEO: QELS_Fundamental Science, QELS 2022 - San Jose, United States Duration: May 15 2022 → May 20 2022

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	CLEO: QELS_Fundamental Science, QELS 2022
Country/Territory	United States
City	San Jose
Period	5/15/22 → 5/20/22

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@inproceedings{a2ecc65adae3482e9f4de5e5ac8f5560,

title = "Quantum Receiver Enhanced by Adaptive Learning",

abstract = "Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.",

author = "Chaohan Cui and William Horrocks and Saikat Guha and N. Peyghambarian and Quntao Zhuang and Zheshen Zhang",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); CLEO: QELS_Fundamental Science, QELS 2022 ; Conference date: 15-05-2022 Through 20-05-2022",

year = "2022",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

TY - GEN

T1 - Quantum Receiver Enhanced by Adaptive Learning

AU - Cui, Chaohan

AU - Horrocks, William

AU - Guha, Saikat

AU - Peyghambarian, N.

AU - Zhuang, Quntao

AU - Zhang, Zheshen

PY - 2022

Y1 - 2022

N2 - Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.

AB - Adaptive quantum receiver designed by machine learning is demonstrated for discriminating multiple nonorthogonal coherent states, achieving reduced error rates of 20% (50%) over existing quantum (classical) receivers.

UR - http://www.scopus.com/inward/record.url?scp=85136792801&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85136792801&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136792801

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: QELS_Fundamental Science, QELS 2022

Y2 - 15 May 2022 through 20 May 2022

ER -

Quantum Receiver Enhanced by Adaptive Learning

Abstract

Publication series

Conference

ASJC Scopus subject areas

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