In this work,we present experimental results concerning excitability in a multiband emitting quantum-dot-based photonic neuron.The experimental investigation revealed that the same two-section quantum dot laser can be...In this work,we present experimental results concerning excitability in a multiband emitting quantum-dot-based photonic neuron.The experimental investigation revealed that the same two-section quantum dot laser can be tuned through a simple bias adjustment to operate either as a leaky integrate and fire or as a resonate and fire neuron.Furthermore,by exploiting the inherent multiband emission of quantum-dot devices revealed by the existence of multiple lasing thresholds,a significant enhancement in the neurocomputational capabilities,such as spiking duration and firing rate,is observed.Spike firing rate increased by an order of magnitude that leads to an enhancement in processing speed and,more importantly,neural spike duration was suppressed to the picosecond scale,which corresponds to a significant temporal resolution enhancement.These new regimes of operation,when combined with thermal insensitivity,silicon cointegration capability,and the fact that these multiband mechanisms are also present in miniaturized quantum-dot devices,render these neuromorphic nodes a proliferating platform for large-scale photonic spiking neural networks.展开更多
This paper investigates and discusses the use of information divergence,through the widely used Kullback–Leibler(KL)divergence,under the multivariate(generalized)γ-order normal distribution(γ-GND).The behavior of t...This paper investigates and discusses the use of information divergence,through the widely used Kullback–Leibler(KL)divergence,under the multivariate(generalized)γ-order normal distribution(γ-GND).The behavior of the KL divergence,as far as its symmetricity is concerned,is studied by calculating the divergence of γ-GND over the Student’s multivariate t-distribution and vice versa.Certain special cases are also given and discussed.Furthermore,three symmetrized forms of the KL divergence,i.e.,the Jeffreys distance,the geometric-KL as well as the harmonic-KL distances,are computed between two members of the γ-GND family,while the corresponding differences between those information distances are also discussed.展开更多
All-optical analog-to-digital conversion is a paramount issue in modern science. How to implement real-time and ultrafast quantization to optical pulses with different intensities in an all-optical domain is a central...All-optical analog-to-digital conversion is a paramount issue in modern science. How to implement real-time and ultrafast quantization to optical pulses with different intensities in an all-optical domain is a central problem. Here, we report a realtime demonstration of an all-optical quantization scheme based on slicing the supercontinuum in a nonlinear fiber. In comparison with previous schemes through off-line analysis of the power of different optical spectral components in the supercontinuum, this, to the best of our knowledge, is the first demonstration of such functionality online in the time domain.Moreover, the extinction ratio among the quantized outputs can exceed 10 d B, which further confirms the feasibility of the proposed quantization scheme. The current 3 bit resolution in the proof-of-principle experiment is limited by the current experimental condition, but it can be expected to be greatly enhanced through improving both the spectral width of the generated supercontinuum and the number of filtering channels used.展开更多
We present a simple approach based on photonic reservoir computing(P-RC)for modulation format identification(MFI)in optical fiber communications.Here an optically injected semiconductor laser with self-delay feedback ...We present a simple approach based on photonic reservoir computing(P-RC)for modulation format identification(MFI)in optical fiber communications.Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals.Numerical simulations are conducted for three widely used modulation formats(on–off keying,differential phase-shift keying,and quadrature amplitude modulation)for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26 d B,the chromatic dispersion varies from-500 to 500 ps/nm,and the differential group delay varies from 0 to 20 ps.Under these situations,final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of>95%after optimizing the control parameters of the P-RC layer such as the injection strength,feedback strength,bias current,and frequency detuning.The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI.展开更多
基金Hellenic Foundation for Research and InnovationGeneral Secretariat for Research and Technology(2247 NEBULA Project).
文摘In this work,we present experimental results concerning excitability in a multiband emitting quantum-dot-based photonic neuron.The experimental investigation revealed that the same two-section quantum dot laser can be tuned through a simple bias adjustment to operate either as a leaky integrate and fire or as a resonate and fire neuron.Furthermore,by exploiting the inherent multiband emission of quantum-dot devices revealed by the existence of multiple lasing thresholds,a significant enhancement in the neurocomputational capabilities,such as spiking duration and firing rate,is observed.Spike firing rate increased by an order of magnitude that leads to an enhancement in processing speed and,more importantly,neural spike duration was suppressed to the picosecond scale,which corresponds to a significant temporal resolution enhancement.These new regimes of operation,when combined with thermal insensitivity,silicon cointegration capability,and the fact that these multiband mechanisms are also present in miniaturized quantum-dot devices,render these neuromorphic nodes a proliferating platform for large-scale photonic spiking neural networks.
文摘This paper investigates and discusses the use of information divergence,through the widely used Kullback–Leibler(KL)divergence,under the multivariate(generalized)γ-order normal distribution(γ-GND).The behavior of the KL divergence,as far as its symmetricity is concerned,is studied by calculating the divergence of γ-GND over the Student’s multivariate t-distribution and vice versa.Certain special cases are also given and discussed.Furthermore,three symmetrized forms of the KL divergence,i.e.,the Jeffreys distance,the geometric-KL as well as the harmonic-KL distances,are computed between two members of the γ-GND family,while the corresponding differences between those information distances are also discussed.
基金supported by the National Natural Science Foundation of China (NSFC) (Nos.61775158,61961136002,61927811,U19A2076,61705159,and 61805168)the National Cryptography Development Fund (No.MMJJ20170127)+4 种基金the China Postdoctoral Science Foundation (Nos.2018M630283 and 2019T120197)the Natural Science Foundation of Shanxi Province (No.201901D211116)STCSM (No.SKLSFO201803)the Project of Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing University of Aeronautics and Astronautics),the Ministry of Education (No.RIMP2019002)the Program for the Top Young Academic Leaders of High Learning Institutions of Shanxi。
文摘All-optical analog-to-digital conversion is a paramount issue in modern science. How to implement real-time and ultrafast quantization to optical pulses with different intensities in an all-optical domain is a central problem. Here, we report a realtime demonstration of an all-optical quantization scheme based on slicing the supercontinuum in a nonlinear fiber. In comparison with previous schemes through off-line analysis of the power of different optical spectral components in the supercontinuum, this, to the best of our knowledge, is the first demonstration of such functionality online in the time domain.Moreover, the extinction ratio among the quantized outputs can exceed 10 d B, which further confirms the feasibility of the proposed quantization scheme. The current 3 bit resolution in the proof-of-principle experiment is limited by the current experimental condition, but it can be expected to be greatly enhanced through improving both the spectral width of the generated supercontinuum and the number of filtering channels used.
基金National Natural Science Foundation of China(61775158,61961136002,61927811,U19A2076,61705159,61805168,17174343,11904157)Program for Guangdong Introducing Innovative and Enterpreneurial Teams+5 种基金Program for the Top Young Academic Leaders of High Learning Institutions of ShanxiNational Cryptography Development Fund(MMJJ20170127)China Postdoctoral Science Foundation(2018M630283,2019T120197)Natural Science Foundation of Shanxi Province(201901D211116)STCSM(SKLSFO2018-03)Project of Key Laboratory of Radar Imaging and Microwave Photonics(Nanjing University of Aeronautics and Astronautics),Ministry of Education(RIMP2019002)。
文摘We present a simple approach based on photonic reservoir computing(P-RC)for modulation format identification(MFI)in optical fiber communications.Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals.Numerical simulations are conducted for three widely used modulation formats(on–off keying,differential phase-shift keying,and quadrature amplitude modulation)for various transmission situations where the optical signal-to-noise ratio varies from 12 to 26 d B,the chromatic dispersion varies from-500 to 500 ps/nm,and the differential group delay varies from 0 to 20 ps.Under these situations,final simulation results demonstrate that this technique can efficiently identify all those modulation formats with an accuracy of>95%after optimizing the control parameters of the P-RC layer such as the injection strength,feedback strength,bias current,and frequency detuning.The proposed technique utilizes very simple devices and thus offers a resource-efficient alternative approach to MFI.
