Time-delayed reservoir computing based on an optically pumped spin VCSEL for high-speed processing

Yang, Yigong; Zhou, Pei; Mu, Penghua; Li, Nianqiang

doi:10.1007/s11071-021-07140-5

Cited by 37 publications

(16 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section a comparison between the proposed QD s-VCSEL TDRC and other similar works based on quantum well spin VCSELs [38] and conventional Fabry-Perot lasers [9][39] is presented. The aim of this comparison is to highlight the merits of the proposed scheme.…”

Section: Comparison With Other Similar Workmentioning

confidence: 99%

“…The aim of this comparison is to highlight the merits of the proposed scheme. To begin with, in [38] the authors used a QW spin VCSEL as the basis of their TDRC. This point is of paramount importance due to the fact that authors in [38] have access to two "independent" modes (polarization states) that are exploited so as to boost the number of virtual nodes or solve two tasks in parallel.…”

Section: Comparison With Other Similar Workmentioning

confidence: 99%

“…To begin with, in [38] the authors used a QW spin VCSEL as the basis of their TDRC. This point is of paramount importance due to the fact that authors in [38] have access to two "independent" modes (polarization states) that are exploited so as to boost the number of virtual nodes or solve two tasks in parallel. In our case, by using QD materials we unlock four modes; the two possible emitted wavebands (GS/ES) and at the same time the two polarization states of each waveband.…”

Section: Comparison With Other Similar Workmentioning

confidence: 99%

See 2 more Smart Citations

Time-delayed reservoir computing based on a dual-waveband quantum-dot spin polarized vertical cavity surface-emitting laser

Skontranis

Sarantoglou

Bogris

et al. 2022

Opt. Mater. Express

View full text Add to dashboard Cite

In this work we present numerical results concerning a time-delayed reservoir computing scheme, where its single nonlinear node, is a Quantum-Dot spin polarized Vertical Cavity Surface-Emitting Laser (QD s-VCSEL). The proposed photonic neuromorphic scheme, exploits the complex temporal dynamics of multiple energy states present in quantum dot materials and uses emission from two discrete wavebands and two polarization states, so as to enhance computational efficiency. The benchmark task used for this architecture, is the equalization of a distorted 25Gbaud PAM-4 signal after 50Km of transmission at 1550nm. Results confirm that although typical ground-state emitting quantum-dot nodes offer limited performance, due to bandwidth limitations; by exploiting dual emission, we achieved a onehundred-fold improvement in bit-error rate. This performance boost can pave the way for the infiltration of quantum-dot based devices in high-speed demanding neuromorphic driven applications.

show abstract

Section: Comparison With Other Similar Workmentioning

confidence: 99%

Section: Comparison With Other Similar Workmentioning

confidence: 99%

Section: Comparison With Other Similar Workmentioning

confidence: 99%

See 1 more Smart Citation

Time-delayed reservoir computing based on a dual-waveband quantum-dot spin polarized vertical cavity surface-emitting laser

Skontranis

Sarantoglou

Bogris

et al. 2022

Opt. Mater. Express

View full text Add to dashboard Cite

show abstract

“…Recently, advances of optical RC hardware based on time delay feedback loops including those using the dual-polarization dynamics of a VCSEL [122], an optically pumped spin VCSEL (Fig. 5(E)) [123], a silicon MRR (Fig. 5(F)) [124], and others [125][126][127][128][129][130][131][132].…”

Section: Onns Based On Time-division Multiplexingmentioning

confidence: 99%

Photonic Multiplexing Techniques for Optical Neuromorphic Computing

Moss¹

2022

Preprint

View full text Add to dashboard Cite

The simultaneous advances in artificial neural networks and photonic integration technologies have spurred extensive research in optical computing and optical neural networks (ONNs). The potential to simultaneously exploit multiple physical dimensions of time, wavelength and space give ONNs the ability to achieve computing operations with high parallelism and large-data throughput. Different photonic multiplexing techniques based on these multiple degrees of freedom have enabled ONNs with large-scale interconnectivity and linear computing functions. Here, we review the recent advances of ONNs based on different approaches to photonic multiplexing, and present our outlook on key technologies needed to further advance these photonic multiplexing/hybrid-multiplexing techniques of ONNs.

show abstract

“…(D) TD-RC based on electro-optic phase-delay oscillator[121]. (E) TD-RC based on an optically pumped spin VCSEL[123]. (F) TD-RC based on a silicon microring[124].…”

mentioning

confidence: 99%

Photonic multiplexing methods for optical neuromorphic computing

Moss¹

2022

Preprint

View full text Add to dashboard Cite

<p> The simultaneous advances in artificial neural networks and photonic integration technologies have spurred extensive research in optical computing and optical neural networks (ONNs). The potential to simultaneously exploit multiple physical dimensions of time, wavelength and space give ONNs the ability to achieve computing operations with high parallelism and large-data throughput. Different photonic multiplexing techniques based on these multiple degrees of freedom have enabled ONNs with large-scale interconnectivity and linear computing functions. Here, we review the recent advances of ONNs based on different approaches to photonic multiplexing, and present our outlook on key technologies needed to further advance these photonic multiplexing/hybrid-multiplexing techniques of ONNs. </p>

show abstract

Time-delayed reservoir computing based on an optically pumped spin VCSEL for high-speed processing

Cited by 37 publications

References 51 publications

Time-delayed reservoir computing based on a dual-waveband quantum-dot spin polarized vertical cavity surface-emitting laser

Time-delayed reservoir computing based on a dual-waveband quantum-dot spin polarized vertical cavity surface-emitting laser

Photonic Multiplexing Techniques for Optical Neuromorphic Computing

Photonic multiplexing methods for optical neuromorphic computing

Contact Info

Product

Resources

About