Nanowire network–based multifunctional all-optical logic gates

Yang, He; Khayrudinov, Vladislav; Dhaka, Veer; Jiang, Hua; Autere, Anton; Lipsanen, Harri; Sun, Zhipei; Jussila, Henri

doi:10.1126/sciadv.aar7954

Cited by 59 publications

(49 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…III-V heterostructure nanowires can uniquely be tailored with widely varying optical and electronic properties. They respond locally and efficiently to optical signals, concentrate light on a sub-wavelength scale 19,20 , and have a natural polarization sensitivity that has been used for optical logical gates 21 .…”

Section: Introductionmentioning

confidence: 99%

“…They respond locally and efficiently to optical signals, concentrate light on a subwavelength scale, 22 , 23 and have a natural polarization sensitivity 24 that has been used for optical logical gates. 25 Importantly, they can have a much higher absorption cross-section than their physical size 22 , 23 and can thus act as efficient photodetectors. Precise and varied large-scale 2D arrays of functionalized nanowires 22 and single nanowire optical emitters with controllable emission patterns, 19 , 20 , 26 , 27 as summarized by Mantynen et al, 28 have been manufactured and experimentally studied in detail.…”

mentioning

confidence: 99%

“…III–V heterostructure nanowires can uniquely be tailored with widely varying optical and electronic properties. They respond locally and efficiently to optical signals, concentrate light on a subwavelength scale, , and have a natural polarization sensitivity that has been used for optical logical gates . Importantly, they can have a much higher absorption cross-section than their physical size , and can thus act as efficient photodetectors.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Implementing an Insect Brain Computational Circuit Using III–V Nanowire Components in a Single Shared Waveguide Optical Network

et al. 2020

View full text Add to dashboard Cite

Recent developments in photonics include efficient nanoscale optoelectronic components and novel methods for subwavelength light manipulation. Here, we explore the potential offered by such devices as a substrate for neuromorphic computing. We propose an artificial neural network in which the weighted connectivity between nodes is achieved by emitting and receiving overlapping light signals inside a shared quasi 2D waveguide. This decreases the circuit footprint by at least an order of magnitude compared to existing optical solutions. The reception, evaluation, and emission of the optical signals are performed by neuron-like nodes constructed from known, highly efficient III–V nanowire optoelectronics. This minimizes power consumption of the network. To demonstrate the concept, we build a computational model based on an anatomically correct, functioning model of the central-complex navigation circuit of the insect brain. We simulate in detail the optical and electronic parts required to reproduce the connectivity of the central part of this network using previously experimentally derived parameters. The results are used as input in the full model, and we demonstrate that the functionality is preserved. Our approach points to a general method for drastically reducing the footprint and improving power efficiency of optoelectronic neural networks, leveraging the superior speed and energy efficiency of light as a carrier of information.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Implementing an Insect Brain Computational Circuit Using III–V Nanowire Components in a Single Shared Waveguide Optical Network

et al. 2020

View full text Add to dashboard Cite

show abstract

“…O PTICAL computing has attracted a great deal of interest as electronic integrated circuits rapidly approach fundamental scaling limits, and interconnect delay and thermal management in CMOS circuits have become issues of major concern [1], [2], [3], [4]. However, light cannot be confined beyond the diffraction limit of λ 0 /2n where λ 0 is free space wavelength of light and n is the material refractive index.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimization of Plasmonic Detectors for Beyond-CMOS Plasmonic Majority Logic Gates

Noor

Dens

Reynaert

et al. 2020

J. Lightwave Technol.

View full text Add to dashboard Cite

In this work, we report the modeling and design of a high-speed Ge-based plasmonic detector coupled with a Metal-Insulator-Metal (MIM) plasmonic majority gate. The detector is designed to distinguish between multiple output levels of the integrated majority gate. Through numerical analyses we predict the proposed plasmonic detector has an intrinsic bandwidth beyond 220GHz at an applied bias of only 100mV . An asymmetric Metal-Semiconductor-Metal (MSM) configuration of the plasmonic detector ensures a dark current of a few nA which results in high sensitivity. The high electric field generated by the electrode asymmetry enables effective separation of the photogenerated carriers resulting in high photocurrent even at few mVs of applied bias. The low capacitance of less than 1f F arising from the small detector dimensions results in a high RClimited bandwidth. Moreover, the narrow plasmonic Ge slot of the photodetector provides a short drift path and fast transit time for carriers. Unlike previously reported plasmonic detectors that use noble metals as electrodes, our proposed detector employs Al and Cu to meet CMOS compatibility requirements and thus can be a potential candidate for high-speed computational systems in industry-level applications. Additionally, the findings presented in the paper will be helpful for the future realization of an integrated plasmonic system.

show abstract

“…Prior to the growth, the substrates are annealed in situ at 600°C for 10 minutes under hydrogen flow to desorb surface contaminants as measured by using a thermocouple in the lamp-heated graphite susceptor. 34,35 Trimethylgallium (TMGa) and tertiarybutylarsene (TBAs) are used as precursors for GaAs core growth, and trimethylaluminum (TMAl) and TBAs are used for AlAs shells.…”

mentioning

confidence: 99%

Thermal conductivity suppression in GaAs–AlAs core–shell nanowire arrays

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

Nanowire network–based multifunctional all-optical logic gates

Abstract: Authors develop nanowire-based multifunctional logic gates for all-optical computation used in future nanophotonic devices.

Cited by 59 publications

References 28 publications

Implementing an Insect Brain Computational Circuit Using III–V Nanowire Components in a Single Shared Waveguide Optical Network

Implementing an Insect Brain Computational Circuit Using III–V Nanowire Components in a Single Shared Waveguide Optical Network

Modeling and Optimization of Plasmonic Detectors for Beyond-CMOS Plasmonic Majority Logic Gates

Thermal conductivity suppression in GaAs–AlAs core–shell nanowire arrays

Contact Info

Product

Resources

About