Integrated optical memristors

• Published in: Nature photonics Vol. 17; no. 7; pp. 561 - 572
• Main Authors: Youngblood, Nathan, Ríos Ocampo, Carlos A., Pernice, Wolfram H. P., Bhaskaran, Harish
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.07.2023; Nature Publishing Group
• Subjects: 639/301/1019; 639/624; Applied and Technical Physics; Artificial intelligence; Bandwidths; Data processing; Electronics; Functional materials; Information processing; Integrated circuits; Machine learning; Memristors; Neuromorphic computing; Optics; Photonics; Physics; Physics and Astronomy; Quantum Physics; Review Article
• ISSN: 1749-4885; 1749-4893
• DOI: 10.1038/s41566-023-01217-w

Memristors in electronics have shown the potential for a range of applications, ranging from circuit elements to neuromorphic computing. In recent years, the ability to vary the conductance of a channel in electronics has enabled in-memory computing, thus leading to substantial interest in memristors. Optical analogues will require modulation of the transmission of light in a semicontinuous and nonvolatile manner. With the proliferation of photonic computing, such an optical analogue, which involves modulating the optical response in integrated circuits while maintaining the modulated state afterwards, is being pursued using a range of functional materials. Here we review recent progress in this important and emerging aspect of photonic integrated circuits and provide an overview of the current state of the art. Optical memristors are of particular interest for applications in high-bandwidth neuromorphic computing, machine learning hardware and artificial intelligence, as these optical analogues of memristors allow for technology that combines the ultrafast, high-bandwidth communication of optics with local information processing. Optical analogues of electronic memristors are desirable for applications including photonic artificial intelligence and computing platforms. Here, recent progress on integrated optical memristors is reviewed.