All-Optical Neuromorphic Computing: Overcoming Material and Functional Challenges

A number of breakthroughs are still required to unlock the potential of neuromorphic photonics. We foresee that the inclusion of new materials, the development of advanced hybrid integrated schemes, the implementation of new functionalities will enable more efficient sensing, storage and processing on chip, to enable large-scale computation and ultra-low energy consumption, shaping the future of neuromorphic computing.

This research topic addresses the open questions and challenges in the development of all-optical neuromorphic computing devices, in relation to both spiking and deep neural networks, with a strong focus on new materials and functionalities that could make computing faster, scalable and energy efficient.

The present research topic will focus on the integration of novel materials for sensing, storage and processing functions within single or multiple devices. This topic will examine the limitations in current material choices, and propose potential solutions in terms of new materials and/or new functionalities. By investigating these challenges, the research aims to pave the way for more efficient and versatile all-optical neuromorphic systems. Exploration of the impact of these new functional material systems in complex applications and their exploitation for in-situ training are also part of the topic interests.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review

Keywords: Neuromorphic photonics, Functional materials, Spiking neural networks, Deep neural networks

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.