Year: 2025
Type: preprint
Abstract: Optimization problems are central to many important cross-disciplinary applications.In their conventional implementations, the sequential nature of operations imposes strict limitations on the computational efficiency. Here, we discuss how analog optical computing can overcome this fundamental bottleneck. We propose a photonic optimizer unit, together with supporting algorithms that uses in memory computation within a nature inspired, multi agent cooperative framework. The system performs a sequence of reconfigurable parallel matrix vector operations, enabled by the high bandwidth and multiplexing capabilities inherent to photonic circuits. This approach provides a pathway toward fast paced and high quality solutions for difficult optimization and search problems.
Source: arXiv (Cornell University)
Authors: Syed, Ghazi Sarwat, Schmidt, Philipp, Brückerhoff-Plückelmann, Frank, Dijkstra, Jelle, Pernice, Wolfram H. P, Sebastian, Abu
Institutions: IBM Research - Zurich, Heidelberg University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4415097103
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