PROGRAMMABLE 2D NONLINEAR PHOTONIC WAVEGUIDES FOR ANALOG COMPUTATION USING LIGHT PROPAGATION

Abstract

Our overarching objective in this proposal is to develop a nonlinear-optical device that is capable of performing analog computation. We have designed our proposed device in a way that allows us to harness the benefits of optics over electronics for computation. There is a clear path towards achieving superior computational-performance-per-Watt using our type of device versus conventional, digital computers for tasks that are suited to analog processing. We seek to demonstrate the applicability of our proposed nonlinear-optical computing device for machine learning. There are several fundamental differences between photonics and electronics that can be leveraged to build a photonic processor that has speed and/or energy efficiency advantages over electronic processors. We have designed a photonic device (and a surrounding system for using it) that in particular makes use of i.) the large bandwidth of optics (>1 THz); ii.) large spatial parallelism (it is possible to manipulate 10-million spatial modes); iii.) the nearly dissipationless propogation of light, where the light performs computation as it moves through a medium. Our proposed device is a 2D waveguide whose refractive index can be programmed as a function of space, and which has an induced second-order nonlinear susceptibility that is also programmed as a function of space. Both properties are programmed via the same physical mechanism: a photoconductor that allows the voltage over the waveguide to be modified by impinging control light from above. Our objectives concern demonstrating a functioning device that exhibits the desired programmability, and using the device to perform analog computation.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 20, 2023
Source ID
FA95502210378

Entities

People

  • Peter L. McMahon

Organizations

  • Air Force Office of Scientific Research
  • Cornell University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Integrated Circuit Design and Technology.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Microelectronics
  • Space