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A cascaded interferometer-microresonator structure for photonic reservoir computing.

Amideddin Mataji-Kojouri1, Sebastian Kühl2, Mohammad Seifi Laleh2

  • 1Integrated Photonic Devices Group, Chair of RF and Photonics Engineering, TU Dresden, Helmholzstr. 18, 01069, Dresden, Germany. amideddin.mataji_kojouri@tu-dresden.de.

Scientific Reports
|February 14, 2026
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Summary

This study introduces a faster photonic reservoir computing method using Mach-Zehnder interferometers and microring resonators. This approach achieves high-speed computation without relying on silicon

Keywords:
Optical computingPhotonic integrated circuitsPhotonic signal equalizationReservoir computingSilicon microring resonators

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Area of Science:

  • Photonics
  • Optical Computing
  • Nonlinear Dynamics

Background:

  • Photonic reservoir computing leverages complex system dynamics for computation.
  • Implementing on-chip delay elements for silicon photonic reservoirs is challenging due to required delays matching nonlinear effect timescales.
  • Existing silicon-based methods face limitations in speed and complexity.

Purpose of the Study:

  • To develop a high-speed photonic reservoir computing system.
  • To overcome the limitations of silicon nonlinearity and long delay lines.
  • To explore a delay-based photonic reservoir utilizing amplitude/phase modulations and photodetection for nonlinearity.

Main Methods:

  • Simulations of a time-delay photonic reservoir.
  • Utilizing a Mach-Zehnder interferometer and a microring resonator.
  • Incorporating digital memory in the electronic output layer.

Main Results:

  • Achieved computation speeds nearly one order of magnitude faster than silicon-nonlinear-based reservoirs.
  • Speed is primarily limited by modulation/detection bandwidth, not silicon nonlinearity.
  • Demonstrated accurate performance in NARMA-10, Mackey-Glass, and Santa-Fe prediction tasks (NMSE 0.002-0.05).

Conclusions:

  • The proposed time-delay photonic reservoir offers a significant speed advantage.
  • This architecture enables efficient photonic reservoir computing without relying on silicon's nonlinear effects.
  • The system is capable of complex prediction tasks and optical communication signal equalization.