Prospects of photonic computing for artificial intelligence

Hailong Zhou; Jianji Dong

doi:10.1093/nsr/nwag089

February 10, 2026National Science ReviewOpen Access

Prospects of photonic computing for artificial intelligence

View Full Paper

Ask AI

Bookmark

Share

Key Points

The main goal is to evaluate how photonic computing can impact the development of artificial intelligence technologies.
Analyzed the current state of photonic computing technologies.
Discussed the scalability of linear optical engines.
Investigated the potential of end-to-end optical neural networks.
Photonic computing could significantly enhance processing speeds for AI.
There are two main strategies: scaling existing optical engines or developing advanced optical neural networks.
Optical neural networks may offer superior performance in AI applications.

Implication

This analysis explores photonic computing's potential to enhance artificial intelligence, suggesting strategic paths forward.

Abstract

Photonic computing emerges as a disruptive paradigm for artificial intelligence, presenting a strategic choice between scaling linear optical engines and pursuing deep, end-to-end optical neural networks.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/698d6f0d5be6419ac0d551e0 https://doi.org/10.1093/nsr/nwag089

View Full Paper

Ask AI

Bookmark

Share

Prospects of photonic computing for artificial intelligence

Key Points

Implication

Abstract

Discussion

Cite This Study

Prospects of photonic computing for artificial intelligence

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading