Quantum computing and machine learning on an integrated photonics platform

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Type
Article
Citation
Zhu, H., Lin, H., Wu, S., Luo, W., Zhang, H., Zhan, Y., Wang, X., Liu, A., & Kwek, L. C. (2024). Quantum computing and machine learning on an integrated photonics platform. Information, 15(2), Article 95. https://doi.org/10.3390/info15020095
Author
Zhu, Huihui
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Lin, Hexiang
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Wu, Shaojun
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Luo, Wei
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Zhang, Hui
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Zhan, Yuancheng
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Wang, Xiaoting
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Liu, Aiqun
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Kwek, Leong Chuan 
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
Date Issued
2024
Publisher
MDPI
Journal
Information
DOI
10.3390/info15020095