Seoul universities propose photonic chip for future computing

Theoretical photonic chip design could enable energy-efficient AI processing if fabricated

Seoul National University and University of Seoul developed a programmable photonic integrated circuit architecture using coupled-resonator-induced transparency technology. This design enables dynamic adjustment of optical pulse delays and signal bandwidth through theoretical models and 3D electromagnetic simulations on silicon-nitride platforms. Current status: not yet experimentally realized, requiring further fabrication validation beyond simulations. The work targets applications like photonic AI processing and optical computing synchronization, with a publication date of August 19, 2026.

This advancement could theoretically reduce energy demands for AI and data processing if successfully scaled. For abundance, it addresses the growing need for low-energy computing infrastructure that powers increasingly complex AI systems. However, the technology remains in simulation-only stages and faces significant fabrication hurdles before practical implementation. The source provides no experimental results or timeline for physical realization.

Source: New Atlas