Quantum Computing and Machine Learning on an Integrated Photonics Platform

Author:

Zhu Huihui12,Lin Hexiang1,Wu Shaojun3,Luo Wei2ORCID,Zhang Hui2,Zhan Yuancheng1ORCID,Wang Xiaoting3,Liu Aiqun12,Kwek Leong Chuan1456ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S2.1, 50 Nanyang Avenue, Singapore 639798, Singapore

2. Institute of Quantum Technologies (IQT), The Hong Kong Polytechnic University, Hong Kong SAR, China

3. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610051, China

4. National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore 637616, Singapore

5. Centre for Quantum Technologies, National University of Singapore, Singapore 117543, Singapore

6. MajuLab, CNRS-UNS-NUS-NTU International Joint Research Unit, UMI 3654, Singapore 637616, Singapore

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.

Publisher

MDPI AG

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