Free‐space Optical Computing Systems
Abstract Free‐space optical systems are emerging as a hardware platform for high‐throughput and energy‐efficient computing. In this review, the pioneering works are first introduced to lay the foundation for the principles and architectures of systems. The modern hardware implementations of two types of optical computing systems, matrix, and vector multiplication systems and diffractive optical neural network systems, are covered from material, device, and system perspectives. Further, the system deployment to various applications is also discussed. This review serves as an introduction and guideline to the current progress of developing and utilizing free‐space optical computing systems in various domains.
Authors
- Weilu Gao (ORCID: https://orcid.org/0000-0003-3139-034X)
- Ruiyang Chen (ORCID: https://orcid.org/0000-0002-1538-1702)
Institutions
- University of Utah (US)
Publication Details
- Journal
- Annalen der Physik
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1002/andp.202400390
- Citations
- 2
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- National Science Foundation