Neural nonlinearity using a surface normal photodetector for diffractive optical neural networks

Farshid Ashtiani; Mohamad Hossein Idjadi; Ting-Chen Hu; Stefano Grillanda; David Neilson; Mark Earnshaw; Mark Cappuzzo; Rose Kopf; Alaric Tate; Andrea Blanco-Redondo; Andrea Blanco-Redondo

doi:10.1364/FIO.2023.FW6E.2

Frontiers in Optics + Laser Science 2023 (FiO, LS)
Technical Digest Series (Optica Publishing Group, 2023),
paper FW6E.2
•https://doi.org/10.1364/FIO.2023.FW6E.2

Neural nonlinearity using a surface normal photodetector for diffractive optical neural networks

Farshid Ashtiani, Mohamad Hossein Idjadi, Ting-Chen Hu, Stefano Grillanda, David Neilson, Mark Earnshaw, Mark Cappuzzo, Rose Kopf, Alaric Tate, and Andrea Blanco-Redondo

Frontiers in Optics 2023

Tacoma, Washington United States
9–12 October 2023
ISBN: 978-1-957171-29-6

From the session
Photonic Neural Networks (FW6E)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
F. Ashtiani, M. H. Idjadi, T. Hu, S. Grillanda, D. Neilson, M. Earnshaw, M. Cappuzzo, R. Kopf, A. Tate, and A. Blanco-Redondo, "Neural nonlinearity using a surface normal photodetector for diffractive optical neural networks," in Frontiers in Optics + Laser Science 2023 (FiO, LS), Technical Digest Series (Optica Publishing Group, 2023), paper FW6E.2.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

We propose a neural nonlinearity using a surface-normal photodetector with a response time of 5.7 µs and an energy efficiency of < 10 nW/pixel. This device offers a significant improvement in free-space diffractive optical neural networks.

PDF Article | Presentation Video

More Like This

Single Pixel Image Reconstruction Using Nonlinear Optics and Neural Networks

Santosh Kumar, Matthew Thomas, and Yuping Huang
JM7A.126 Frontiers in Optics (FiO) 2023

Image Sensors Based on Nonlinear Optical Neural Networks

Mandar M. Sohoni, Tianyu Wang, Logan G. Wright, Martin M. Stein, Shi-Yuan Ma, Tatsuhiro Onodera, Maxwell G. Anderson, and Peter L. McMahon
STu4F.3 CLEO: Science and Innovations (CLEO:S&I) 2023

Quantum-noise-limited optical neural networks using few photons per neuron activation

Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, and Peter L. McMahon
JTu7A.1 Frontiers in Optics (FiO) 2023

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads