Integrated Photonics for Neuromorphic Computing

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Authors: Lennart Meyer, Rongyang Xu, Wolfram H. P. Pernice
Cited by: 0
References: 143

Abstract

In this chapter, we will explore the potential of integrated photonic computing using neuromorphic circuit design to meet the increasing demand for computing power. We will discuss the limitations of electronic devices and how we can leverage the inherent properties of light to overcome them. We will also examine the latest developments in all-optical neural networks and hardware accelerators that use integrated photonics, as well as analyze the underlying physics.

Fields of Study & Subjects

Neural Networks and Reservoir Computing Advanced Memory and Neural Computing Photonic and Optical Devices

Publication details

Journal / source
Machine intelligence for materials science
Pages
331–369
Publication date
1 January 2026
Language
EN
Document type
Book chapter