Compact reservoir computing with a photonic integrated circuit

Takano, Kiminori; Sugano, Chihiro; Inubushi, Masanobu; Yoshimura, Kazuyuki; Sunada, Satoshi; Kanno, Kazutaka; Uchida, Atsushi

doi:10.1364/oe.26.029424

Cited by 133 publications

(78 citation statements)

References 34 publications

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“…The delay time in his experiments was around 80 ns, which translates to a few meters of fiber. Recently, Takano et al [11] have presented a photonic integrated circuit consisting of a distributed-feedback semiconductor laser, a semiconductor optical amplifier (SOA), a phase modulator, a short passive waveguide and an external mirror for optical feedback. The external cavity length in this system reached 10.6 mm, corresponding to a round-trip delay time of 254 ps.…”

Section: Introductionmentioning

confidence: 99%

Task-Independent Computational Abilities of Semiconductor Lasers with Delayed Optical Feedback for Reservoir Computing

Harkhoe

Sande

2019

Photonics

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Reservoir computing has rekindled neuromorphic computing in photonics. One of the simplest technological implementations of reservoir computing consists of a semiconductor laser with delayed optical feedback. In this delay-based scheme, virtual nodes are distributed in time with a certain node distance and form a time-multiplexed network. The information processing performance of a semiconductor laser-based reservoir computing (RC) system is usually analysed by way of testing the laser-based reservoir computer on specific benchmark tasks. In this work, we will illustrate the optimal performance of the system on a chaotic time-series prediction benchmark. However, the goal is to analyse the reservoir’s performance in a task-independent way. This is done by calculating the computational capacity, a measure for the total number of independent calculations that the system can handle. We focus on the dependence of the computational capacity on the specifics of the masking procedure. We find that the computational capacity depends strongly on the virtual node distance with an optimal node spacing of 30 ps. In addition, we show that the computational capacity can be further increased by allowing for a well chosen mismatch between delay and input data sample time.

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Section: Introductionmentioning

confidence: 99%

Task-Independent Computational Abilities of Semiconductor Lasers with Delayed Optical Feedback for Reservoir Computing

Harkhoe

Sande

2019

Photonics

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“…As a result, the number of nodes in the architecture can be simply increased by changing the length of a delay line. Several implementations have been proposed : the optoelectronic [8,9] or all-optical configurations [10][11][12][13].…”

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confidence: 99%

Experimental reservoir computing using VCSEL polarization dynamics

Vatin¹,

Rontani²,

Sciamanna³

2019

Opt. Express

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We realize an experimental setup of a time-delay reservoir using a VCSEL with optical feedback and optical injection. The VCSEL is operated in the injection-locking regime. This allows us to solve different information processing tasks, such as chaotic time-series prediction with a NMSE of 1.6 × 10 −2 and nonlinear channel equalization with a SER of 1.5 × 10 −2 , improving state-of-the-art performance. We also demonstrate experimentally, through a careful statistical analysis, the impact of the VCSEL polarization dynamics on the performance of our architecture. More specifically, we confirm recent theoretical prediction stating that a polarization rotated feedback allows for the enhancement of the calculation performance compared to an isotropic feedback.

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“…In the long term, this integrated approach will lead to a robust and low-cost design. Recently, Takano et al 18 have presented a photonic integrated circuit consisting of a distributed-feedback semiconductor laser, a semiconductor optical amplifier (SOA), a phase modulator, a short passive waveguide, and an external mirror for optical feedback. The external cavity length in this system reached 10.6mm, corresponding to a round-trip delay time of 254ps.…”

Section: Introductionmentioning

confidence: 99%

Integrated photonic delay-lasers for reservoir computing

Sande

Harkhoe

Katumba

et al. 2020

Physics and Simulation of Optoelectronic Devices XXVIII

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Currently, multiple photonic reservoir computing systems show great promise for providing a practical yet powerful hardware substrate for neuromorphic computing. Among those, delay-based systems offer a simple technological route to implement photonic neuromorphic computation. Its operation boils down to a time-multiplexing with the delay length limiting the processing speed. As most optical setups end up to be bulky employing long fiber loops or free-space optics, the processing speeds are ranging from kSa/s to tens of MSa/s. Therefore, we focus on external cavities which are far shorter than what has been realized before in such experiments. We present experimental results of reservoir computing based on a semiconductor laser, operating in a single mode regime around 1550nm, with a 10.8cm delay line. Both are integrated on an active/passive InP photonic chip built on the Jeppix platform. Using 23 virtual nodes spaced 50 ps apart in the integrated delay section, we increase the processing speed to 0.87GSa/s. The computational performance is benchmarked on a forecasting task applied to chaotic time samples. Competitive performance is observed for injection currents above threshold, with higher pumps having lower prediction errors. The feedback strength can be controlled by electrically pumping integrated amplifiers within the delay section. Nevertheless, we find good performance even when these amplifiers are unpumped. To proof the relevance and necessity of the external cavity on the computational capacity, we have analysed linear and nonlinear memory tasks. We also propose several post-processing methods, which increase the performance without a penalty to speed.

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Compact reservoir computing with a photonic integrated circuit

Cited by 133 publications

References 34 publications

Task-Independent Computational Abilities of Semiconductor Lasers with Delayed Optical Feedback for Reservoir Computing

Task-Independent Computational Abilities of Semiconductor Lasers with Delayed Optical Feedback for Reservoir Computing

Experimental reservoir computing using VCSEL polarization dynamics

Integrated photonic delay-lasers for reservoir computing

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