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AI-Driven Photonics-Electronics Convergence for Information Technology

Xinquan Zhang et al · 《中国工程科学》杂志社 · 2026

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Artificial intelligence (AI) is poised to usher in the fourth industrial revolution, highlighting the urgency and importance of China's independent development in information technology. Photonics-electronics convergence (PEC) offers critical hardware support for AI development and positions itself as a key technology for new quality productive forces. This study explores the significance, definition, and evolution path of PEC. It also presents the latest research advancements in related technologies and delves into the opportunities and challenges faced by PEC amidst the AI wave. As an inherent requirement for AI infrastructure development, PEC can be effectively promoted by AI. The study recommends leveraging AI to promote key technological breakthroughs in PEC research, implementing major innovation projects on PEC, fostering a vibrant innovation ecosystem, and nurturing globally competitive entities in this field. These measures aim to help China seize the opportunity of information hardware evolution amidst the AI wave and bolster the country's independent development capabilities in information technology.

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APA 7

al, X. Z. E. (2026). AI-Driven Photonics-Electronics Convergence for Information Technology. https://doi.org/10.15302/J-SSCAE-2025.11.016

MLA

al, Xinquan Zhang et. "AI-Driven Photonics-Electronics Convergence for Information Technology." 2026. https://doi.org/10.15302/J-SSCAE-2025.11.016.

Chicago

al, Xinquan Zhang et. 2026. "AI-Driven Photonics-Electronics Convergence for Information Technology.". https://doi.org/10.15302/J-SSCAE-2025.11.016.

Harvard

al, X. Z. E. 2026, AI-Driven Photonics-Electronics Convergence for Information Technology, 《中国工程科学》杂志社, available at: https://doi.org/10.15302/J-SSCAE-2025.11.016 [Accessed 7 Aug. 2026].

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Title
AI-Driven Photonics-Electronics Convergence for Information Technology
Author / contributors
Xinquan Zhang et al
Publisher
《中国工程科学》杂志社
Publication year
2026
ISSN
1009-1742
ISSN
1009-1742
Language
zho

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