Quantum Computing and Machine Learning on an Integrated Photonics Platform

Huihui Zhu; Hexiang Lin; Shaojun Wu; Wei Luo; Hui Zhang; Yuancheng Zhan; Xiaoting Wang; Aiqun Liu; Leong Chuan Kwek

doi:10.3390/info15020095

Quantum Computing and Machine Learning on an Integrated Photonics Platform

Huihui Zhu
, Hexiang Lin
, Shaojun Wu
, Wei Luo
, Hui Zhang
, Yuancheng Zhan
, Xiaoting Wang
, Aiqun Liu
, Leong Chuan Kwek

Research output: Journal article publication › Review article › Academic research › peer-review

16 Citations (Scopus)

Abstract

Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power of light, integrated photonic chips offer numerous advantages over traditional optical and electronic systems, including miniaturization, high-speed data processing and improved energy efficiency. In this review, we survey the current status of quantum computation, optical neural networks and the realization of some algorithms on integrated optical chips.

Original language	English
Article number	95
Journal	Information (Switzerland)
Volume	15
Issue number	2
DOIs	https://doi.org/10.3390/info15020095
Publication status	Published - Feb 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

integrated photonic chip
optical network
quantum neural network

ASJC Scopus subject areas

Information Systems

More information

10.3390/info15020095

http://hdl.handle.net/10397/109229

Cite this

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title = "Quantum Computing and Machine Learning on an Integrated Photonics Platform",

abstract = "Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power of light, integrated photonic chips offer numerous advantages over traditional optical and electronic systems, including miniaturization, high-speed data processing and improved energy efficiency. In this review, we survey the current status of quantum computation, optical neural networks and the realization of some algorithms on integrated optical chips.",

keywords = "integrated photonic chip, optical network, quantum neural network",

author = "Huihui Zhu and Hexiang Lin and Shaojun Wu and Wei Luo and Hui Zhang and Yuancheng Zhan and Xiaoting Wang and Aiqun Liu and Kwek, \{Leong Chuan\}",

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AU - Zhu, Huihui

AU - Lin, Hexiang

AU - Wu, Shaojun

AU - Luo, Wei

AU - Zhang, Hui

AU - Zhan, Yuancheng

AU - Wang, Xiaoting

AU - Liu, Aiqun

AU - Kwek, Leong Chuan

PY - 2024/2

Y1 - 2024/2

N2 - Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power of light, integrated photonic chips offer numerous advantages over traditional optical and electronic systems, including miniaturization, high-speed data processing and improved energy efficiency. In this review, we survey the current status of quantum computation, optical neural networks and the realization of some algorithms on integrated optical chips.

AB - Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power of light, integrated photonic chips offer numerous advantages over traditional optical and electronic systems, including miniaturization, high-speed data processing and improved energy efficiency. In this review, we survey the current status of quantum computation, optical neural networks and the realization of some algorithms on integrated optical chips.

KW - integrated photonic chip

KW - optical network

KW - quantum neural network

UR - https://www.scopus.com/pages/publications/85185708452

U2 - 10.3390/info15020095

DO - 10.3390/info15020095

M3 - Review article

AN - SCOPUS:85185708452

SN - 2078-2489

VL - 15

JO - Information (Switzerland)

JF - Information (Switzerland)

IS - 2

M1 - 95

ER -

Quantum Computing and Machine Learning on an Integrated Photonics Platform

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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