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SCIENCE CHINA Information Sciences, Volume 63, Issue 6: 160402(2020) https://doi.org/10.1007/s11432-019-2837-0

A brief review of integrated and passive photonic reservoir computing systems and an approach for achieving extra non-linearity in passive devices

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  • ReceivedDec 3, 2019
  • AcceptedMar 12, 2020
  • PublishedMay 13, 2020

Abstract

Photonic-based reservoir computing (RC) systems have attracted significant attention. Integrated and purely passive systems are compatible with complementary metal-oxide-semiconductor devices, but are limited by the lack of non-linear components. This study consists of two parts: firstly, a review on the published integrated and passive RC system is presented. The review focuses on the structural configuration (rather than the mathematical model) of the neural network; secondly, a new approach for achieving an integrated and passive photonic RC system is introduced and discussed. This approach employs a mode combiner in front of the reservoir to achieve an extra non-linearity in a purely passive device. Moreover, the approach is numerically investigated, and an XOR (exclusive or) task is used to test the device, and the result shows that the new approach satisfies the requirement of an RC system.


Acknowledgment

This work was supported by National Science Foundation (Grant No. NSF-1710885).


References

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  • Figure 1

    (Color online) Illustration showing different structure types of integrated and passive RC systems. (a) 16 nodes, spatial node system (from [4]); (b) photonic crystal cavity with seven defects, spatial node system (from [9]); (c) time-delay effect induced by cascaded ring resonators, temporal node system (from [14]).

  • Figure 2

    (Color online) Structural configuration of the device.

  • Figure 3

    (Color online) Output spectrum of one ring resonator: red curve is the TM 0th mode, and blue is the TM 1st mode.

  • Figure 4

    (Color online) The mode combiner. (a) Structure configuration, both the red and blue waveguides are Si. protectłinebreak (b) Field distribution of the entire structure. (c) Field distribution of the red arm: TM 0th mode converted to TM 1st mode. (d) Field distribution of the blue arm: TM 0th mode is maintained.

  • Figure 5

    (Color online) Time-delay function of a single sinusoidal pulse. Delay function for the (a) TM 0th mode only, (b) TM 1st mode only, and (c) whole device with the mode combiner. Black part in each figure represents the input pulse.

  • Figure 6

    (Color online) Time-delay function for the 100 digit coded input. (a) Input intensity, the code is randomly selected; (b) the output response of the input.

  • Figure 7

    (Color online) Training and test results. (a) Trained data is shown by the red curve, and the blue curve shows the training target, MSE = 0.0080. (b) Test data is shown by the pink curve, and the light blue curve shows the test target, MSE = 0.1080.

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