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Reconfigurable nonlinear optical element using tunable couplers and inverse-designed structure.

Vahid Nikkhah1, Mario Junior Mencagli2, Nader Engheta1

  • 1Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel wave-based analog computing approach using engineered structures for ultra-fast signal processing. It presents a reconfigurable nonlinear optical architecture for advanced wave-based computing.

Keywords:
Mach–Zehnder interferometerinverse designmetamaterialnonlinear elementnonlinearityreconfigurable

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Area of Science:

  • Physics
  • Electrical Engineering
  • Materials Science

Background:

  • Wave-based analog computing offers ultra-fast and power-efficient signal processing.
  • Current proposals primarily focus on linear operations due to challenges with nonlinear materials.
  • There is a need for efficient methods to perform nonlinear operations in wave-based computing.

Purpose of the Study:

  • To propose a novel three-port device for power-dependent transmission using linear and nonlinear materials.
  • To develop a reconfigurable nonlinear optical architecture for implementing diverse nonlinear signal functions.
  • To advance wave-based analog computing by integrating nonlinear capabilities.

Main Methods:

  • Utilizing the method of inverse design to create a three-port device.
  • Combining linear and Kerr nonlinear materials within the device.
  • Integrating the proposed devices with Mach-Zehnder interferometers (MZIs) to form a reconfigurable architecture.

Main Results:

  • A three-port device with tunable power-dependent transmission properties was successfully designed.
  • A reconfigurable nonlinear optical architecture capable of implementing various nonlinear functions was proposed.
  • The architecture demonstrates potential for advanced wave-based signal processing.

Conclusions:

  • The proposed device and architecture enable controllable nonlinear operations in wave-based systems.
  • This work paves the way for reconfigurable nonlinear signal processing integrated with linear networks.
  • The findings contribute to the development of full-fledged wave-based analog computing.