Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Towards the Information-Theoretic Limit of Programmable Photonics
by
Jasvith Raj Basani
, Hamerly, Ryan
, Englund, Dirk
, Vadlamani, Sri Krishna
, Sludds, Alexander
in
Circuits
/ Information theory
/ Neural networks
/ Phase shift
/ Phase shifters
/ Photonics
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Towards the Information-Theoretic Limit of Programmable Photonics
by
Jasvith Raj Basani
, Hamerly, Ryan
, Englund, Dirk
, Vadlamani, Sri Krishna
, Sludds, Alexander
in
Circuits
/ Information theory
/ Neural networks
/ Phase shift
/ Phase shifters
/ Photonics
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Towards the Information-Theoretic Limit of Programmable Photonics
Paper
Towards the Information-Theoretic Limit of Programmable Photonics
2024
Request Book From Autostore
and Choose the Collection Method
Overview
The scalability of many programmable photonic circuits is limited by the \\(2\\) tuning range needed for the constituent phase shifters. To address this problem, we introduce the concept of a phase-efficient circuit architecture, where the average phase shift is \\( 2\\). We derive a universal information-theoretic limit to the phase-shift efficiency of universal multiport interferometers, and propose a \"3-MZI\" architecture that approaches this limit to within a factor of \\(2\\), approximately a \\(10\\) reduction in average phase shift over the prior art, where the average phase shift scales inversely with system size as \\(O(1/N)\\). For non-unitary circuits, we show that the 3-MZI saturates the theoretical bound for Gaussian-distributed target matrices. Using this architecture, we show optical neural network training with all phase shifters constrained to \\( 0.2\\) radians without loss of accuracy.
Publisher
Cornell University Library, arXiv.org
Subject
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.