Published: Nov. 11, 2024
Language: Английский
Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 1(6), P. 358 - 373
Published: June 6, 2024
Language: Английский
Citations
10
ACS Photonics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 17, 2025
In the field of information processing, traditional computing methods encounter limitations in handling increasingly complex tasks and meeting growing performance requirements. Reservoir computing, as a new paradigm, has demonstrated excellent time series prediction tasks. However, photonic reservoir still needs improvement certain aspects, such high computational complexity relatively high-power consumption for processing. our work, spiking system based on single distributed feedback laser with saturable absorber (DFB-SA laser) is numerically experimentally. Owing to advantages DFB-SA, easy manufacture, faster response time, better control over gain current reverse voltage. Compared continuous signals, pulse emission requires less energy, helping reduce power consumption. The reported effectively implements DFB-SA shows its successful application nonlinear classification achieves favorable lower input dimensionality, opening avenues future processing systems machines integrated absorption regions providing approach lightweight architectures.
Language: Английский
Citations
0
Communications Physics, Journal Year: 2025, Volume and Issue: 8(1)
Published: March 20, 2025
Language: Английский
Citations
0
Optics Letters, Journal Year: 2024, Volume and Issue: 49(8), P. 2097 - 2097
Published: March 5, 2024
The exploitation of the full structure multimode light fields enables compelling capabilities in many including classical and quantum information science. We exploit data-encoding on optical phase pulses a femtosecond laser source for photonic implementation reservoir computing protocol. Rather than intensity detection, data-reading is done via homodyne detection that accesses combinations an amplitude field. Numerical experimental results nonlinear autoregressive moving average (NARMA) tasks dynamic predictions are shown. discuss perspectives quantum-enhanced protocols.
Language: Английский
Citations
3
Advanced Electronic Materials, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 21, 2024
Abstract Reservoir computing (RC), a type of recurrent neural network, is particularly well‐suited for hardware implementation in edge computing. It shown that RC based on dynamic memristors potentially offers much lower power consumption and reduced computation times than digital electronics. However, challenges such as stochasticity read noise these devices can impair its performance. Furthermore, the external analog‐to‐digital (ADC) readout circuits may require substantial area energy. In this work, it experimentally demonstrated population stochastic diffusive Ag:SiO x effectively construct spiking reservoir system. This system demonstrates remarkable resilience to delivers exceptional performance across range computational tasks, achieving 98% accuracy waveform classification normalized root mean square error (NRMSE) 0.154 time‐series prediction. Further simulations reveal certain degree device actually enhances Without using ADC converters, hybrid memristor‐CMOS designed significantly compared fully systems.
Language: Английский
Citations
2
Neuromorphic Computing and Engineering, Journal Year: 2023, Volume and Issue: 3(4), P. 044003 - 044003
Published: Oct. 11, 2023
Abstract In this work, we introduce Fabry–Perot lasers as neuromoprhic nodes in the context of time-delayed reservoir computing and extreme learning machine (ELM) for processing temporal signals high-speed classification images. By exploiting multi-wavelength emission capabilities lasers, additional can be introduced, thus raising computational power without sacrificing speed. An experimental validation concept using a ELM is presented targeting time depedent task such channel equalization 50 km 28 Gbaud ‘PAM-4’ transmission, offering hard-decision forward error correction compatible performance. Additionally, neuromorphic has been further strengthened by modifying data entry technique parallelelly assigning different samples input signal to modes so significantly reduce speed penalty. Numerical simulations revealed that alternative insertion offer reduction delay physical footprint 75% compared conventional approach same symbols all Fairy–Perot modes. Moreover, similar scheme ‘MNIST’ image were able numerically achieve 255.1 Mimages s −1 accuracy up 95.95%.
Language: Английский
Citations
6
Japanese Journal of Applied Physics, Journal Year: 2024, Volume and Issue: 63(7), P. 072002 - 072002
Published: June 3, 2024
Abstract Photonic accelerators are anticipated to be the next generation of hardware processors, replacing traditional electronic accelerators. In current photonic based on artificial neural networks, integrated circuits incorporated with leverage their strengths: used perform linear calculations, while nonlinear calculations. However, this architecture requires optoelectric conversion at each layer and is unable superiority light. We propose a novel spiking neuron magneto-optical synapse an all-optical network. This study experimentally demonstrates that magnetization reversal CoFeB, which occurs during thermal accumulation owing multiple optical pulses, similar behavior leaky fire model neurons.
Language: Английский
Citations
1
Communications Physics, Journal Year: 2024, Volume and Issue: 7(1)
Published: Nov. 14, 2024
Abstract Reservoir computing with photonic systems promises fast and energy efficient computations. Vertical emitting semiconductor lasers two spin-polarized charge-carrier populations (spin-VCSEL), are good candidates for high-speed reservoir computing. With our work, we highlight the role of internal dynamic coupling on prediction performance. We present numerical evidence critical impact different data injection schemes timescales. A central finding is that dynamics all dynamical degrees freedom can only be utilized if an appropriate perturbation via input chosen as scheme. If encoded optical phase difference, carrier not addressed but instead a faster rate possible. find strong correlations performance system response time underlying delay-induced bifurcation structure, which allows to transfer results other physical systems.
Language: Английский
Citations
1
Optics Express, Journal Year: 2023, Volume and Issue: 31(10), P. 16549 - 16549
Published: April 20, 2023
We introduce a supervised learning algorithm for photonic spiking neural network (SNN) based on back propagation. For the algorithm, information is encoded into spike trains with different strength, and SNN trained according to patterns composed of numbers output neurons. Furthermore, classification task performed numerically experimentally in SNN. The neuron vertical-cavity surface-emitting laser which functionally similar leaky-integrate fire neuron. results prove demonstration implementation hardware. To seek ultra-low power consumption delay, it great significance design implement hardware-friendly networks realize hardware-algorithm collaborative computing.
Language: Английский
Citations
2
Published: March 18, 2024
A spiking photonic reservoir computing system based on neuron is proposed in this paper. This utilizes the high nonlinearity and excitation characteristics of selected to perform nonlinear classification task. It has been proved that can well Furthermore, our research also study effect different input dimensions output processing methods system. The still have good performance under a low dimension. results show strong learning ability be used implement more machine tasks.
Language: Английский
Citations
0