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Updated: Feb 16, 2026

Implementation of a Reference Interferometer for Nanodetection
Published on: April 26, 2014
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.
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
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.
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