Recent Advances in Optical Computing

Dear Colleagues,

In light of its promise to provide massive computational parallelism, optical computing is attracting increasing interest, and it is regarded as one of the promising alternatives to digital computing in an era when Moore’s and Dennard’s laws are rapidly approaching their limits.

In recent years, artificial intelligence has provided tremendous advances and opportunities in optical computing. Optical platforms, on the other hand, provide lower latency, higher bandwidth, massive parallelism, and lower power consumption, allowing analog computation paradigms to be explored in hardware platforms with complementary features to electronics.

This Special Issue on "Recent Advances in Optical Computing" aims to gather recent developments in optical computation that utilize diffractive optics, photonics, integrated photonics, free-space optics, etc. The contributions to this Special Issue welcome review, theoretical, and experimental work, including, but not limited to, scalability analyses, hybrid optoelectronic computation, and their interfaces as well as interactions with the outside world.

Topics:

• Application of optical computers.
• Optical computing on various platforms (free-space, integrated photonics, etc.).
• Programmable optical devices for computing.
• Optical signal processing for computing.
• Optical neural networks.
• Hybrid computing (optics included);
• Non-von Neumann computing approaches.
• Theoretical analysis for optical computing.
• Information theory for optical computing.
• Review of recent advances in either theory or experiments in optical computing.

We look forward to your contributions.

Dr. Fei Xia
Dr. Tianyu Wang
Guest Editors

Manuscript Submission Information

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• optical computing
• optical neural network
• optical signal processing
• integrated photonics
• free-space optics
• diffractive optics
• non-Von-Neumann computing
• information theory