Random number generator based on an integrated laser with on-chip optical feedback

Verschaffelt, Guy; Khoder, Mulham; Sande, Guy Van der

doi:10.1063/1.5007862

Cited by 23 publications

(10 citation statements)

References 21 publications

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“…A similar chip was recently used for random number generation. 36 To test the RC performance of the laser integrated with a feedback loop, the setup shown in Fig. 2 is used.…”

Section: Methodsmentioning

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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“…A similar chip was recently used for random number generation. 36 To test the RC performance of the laser integrated with a feedback loop, the setup shown in Fig. 2 is used.…”

Section: Methodsmentioning

confidence: 99%

Integrated photonic delay-lasers for reservoir computing

Sande

Harkhoe

Katumba

et al. 2020

Physics and Simulation of Optoelectronic Devices XXVIII

Self Cite

View full text Add to dashboard Cite

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“…To gain more insight into the advantages of using V (t) over the commonly used I(t), we carry out a permutation-entropy analysis. This analysis is relatively simple to compute and provides convincing information on the complexity even when computed on experimental data [16,[35][36][37][38]. It has been widely used for quantifying dynamical complexity in chaotic systems since the seminal work of Bandt and Pompe [38].…”

Section: Statisticalmentioning

confidence: 99%

“…Various methods based on creating symmetric distributions without bias through post-processing techniques have been proposed, for example, using derivatives [4][5][6] and finite differences [7]. To further improve the paradigm, other novel chaotic laser sources and schemes have been demonstrated, such as, through bandwidth enhancement [8], in photonic integrated circuits [9], ring lasers [10,11], heterodyning [12], terahertz optical asymmetric demultiplexers [13], chaotic solitary vertical-cavity surface-emitting lasers [14], polarization rotated feedback [15], as well as, long on-chip optical feedback [16]. Additionally, fast rates have been demonstrated utilizing parallel significant bits [17] and * alocquet@georgiatech-metz.fr parallel-laser schemes [18].…”

mentioning

confidence: 99%

Chaotic laser voltage: An electronic entropy source

Wishon

Choi

et al. 2018

Applied Physics Letters

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The chaotic terminal voltage dynamics of a semiconductor laser subjected to external optical feedback are utilized to directly generate electronic random number streams with minimal postprocessing at rates of 40-120 Gb/s, thus obviating the need for optical-to-electrical conversion and facilitating integration with high-speed computers and devices. Further, a comparison of the terminal voltage to the optical intensity being utilized as entropy sources is performed. It is shown that the voltage dynamics have an inherently larger entropy, a reduction in delay signature, and a more suitable distribution for generating random bit streams.

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“…The nonlinear dynamics of semiconductor lasers with optical feedback has been intensively investigated [1,2], not only because of its interest as an experimental test bed to study nonlinear phenomena, but also, because it has found many practical applications [3], including random number generation [4][5][6][7], photonic microwave generation [8][9][10], chaotic lidar [11], compressive sensing [12] to name just a few. Recent experimental and theoretical studies have demonstrated that the high-dimensional feedback-induced dynamics can be exploited for neuromorphic computing, using the reservoir computing paradigm [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Comparing the dynamics of periodically forced lasers and neurons

2019

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Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing that can revolutionize information processing and artificial intelligence systems. To implement practical photonic neural networks is crucial to identify low-cost energy-efficient laser systems that can mimic neuronal activity. Here we study experimentally the spiking dynamics of a semiconductor laser with optical feedback under periodic modulation of the pump current, and compare with the dynamics of a neuron that is simulated with the stochastic FitzHugh-Nagumo model, with an applied periodic signal whose waveform is the same as that used to modulate the laser current. Sinusoidal and pulsedown waveforms are tested. We find that the laser response and the neuronal response to the periodic forcing, quantified in terms of the variation of the spike rate with the amplitude and with the frequency of the forcing signal, is qualitatively similar. We also compare the laser and neuron dynamics using symbolic time series analysis. The characterization of the statistical properties of the relative timing of the spikes in terms of ordinal patterns unveils similarities, and also some differences. Our results indicate that semiconductor lasers with optical feedback can be used as low-cost, energy-efficient photonic neurons, the building blocks of all-optical signal processing systems; however, the length of the external cavity prevents optical feedback on the chip.

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Random number generator based on an integrated laser with on-chip optical feedback

Cited by 23 publications

References 21 publications

Integrated photonic delay-lasers for reservoir computing

Integrated photonic delay-lasers for reservoir computing

Chaotic laser voltage: An electronic entropy source

Comparing the dynamics of periodically forced lasers and neurons

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