Prospects of photonic computing for artificial intelligence | Synapse
February 12, 2026Open Access
Prospects of photonic computing for artificial intelligence
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.
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.