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High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

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Demonstrating delay-based reservoir computing using a compact photonic integrated chip.

Krishan Harkhoe, Guy Verschaffelt, Andrew Katumba

|March 4, 2020

Summary

This summary is machine-generated.

We developed a compact photonic integrated circuit for high-speed reservoir computing (RC). This system achieves performance comparable to larger setups and improves drastically with advanced post-processing techniques.

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Area of Science:

Photonics
Integrated Optics
Machine Learning

Background:

Photonic delay-based reservoir computing (RC) offers high-speed computation with simple implementations.
Existing non-integrated setups are often bulky and less robust.

Purpose of the Study:

To present a practical, compact, and robust photonic integrated circuit for delay-based RC.
To demonstrate its performance and explore methods for enhancing its computational capabilities.

Main Methods:

Integration of a laser and a 5.4 cm delay line on an Indium Phosphide (InP) photonic integrated circuit.
Demonstration of the chip's operation with 23 nodes at 0.87 Giga Samples per second (GSa/s).
Investigation of two post-processing methods to increase output layer nodes.

Main Results:

The integrated photonic RC chip achieved performance comparable to previous non-integrated systems.
The implemented post-processing methods significantly improved performance.
Computation speed was maintained without compromise.

Conclusions:

A compact and robust photonic integrated circuit for delay-based RC has been successfully implemented.
Post-processing techniques are effective in enhancing the performance of photonic RC systems.
This technology holds promise for high-speed, efficient computing applications.