11 TOPS photonic convolutional accelerator for optical neural networks

Xu, Xingyuan; Tan, Mengxi; Corcoran, Bill; Wu, Jiayang; Boes, Andreas; Nguyen, Thach G.; Chu, Sai T.; Little, Brent E.; Hicks, D. G.; Morandotti, Roberto; Mitchell, Arnan; Moss, David J.

doi:10.1038/s41586-020-03063-0

Cited by 788 publications

(578 citation statements)

References 35 publications

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“…The concept of topological photonics, on the other hand, has also been developed and applied into the other areas, leading to subdisciplines such as topological quantum photonics that aims for topological protection of photonic quantum states and their transport [149][150][151][152][153], and light interaction with topological nanostructures and robust control of light in topological photonic nanostructures [154][155][156][157][158]. Meanwhile, machine learning techniques have recently been applied to solve problems in topological photonics and phononics [159][160][161], and to reconstruct quantum states of photons from experimental data [162], apart from many applications in programmable photonic circuits, optical computing and facial image recognition [163][164][165]. Undoubtedly, as new machine learning algorithms and architectures are developed to surpass Fig.…”

Section: Looking Into the Futurementioning

confidence: 99%

Highlighting photonics: looking into the next decade

Chen

Segev

2021

eLight

243

110

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Let there be light–to change the world we want to be! Over the past several decades, and ever since the birth of the first laser, mankind has witnessed the development of the science of light, as light-based technologies have revolutionarily changed our lives. Needless to say, photonics has now penetrated into many aspects of science and technology, turning into an important and dynamically changing field of increasing interdisciplinary interest. In this inaugural issue of eLight, we highlight a few emerging trends in photonics that we think are likely to have major impact at least in the upcoming decade, spanning from integrated quantum photonics and quantum computing, through topological/non-Hermitian photonics and topological insulator lasers, to AI-empowered nanophotonics and photonic machine learning. This Perspective is by no means an attempt to summarize all the latest advances in photonics, yet we wish our subjective vision could fuel inspiration and foster excitement in scientific research especially for young researchers who love the science of light.

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Section: Looking Into the Futurementioning

confidence: 99%

Highlighting photonics: looking into the next decade

Chen

Segev

2021

eLight

243

110

View full text Add to dashboard Cite

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“…Very recently, some photonic neural network chips have been successfully demonstrated [160,[193][194][195][196][197][198][199]. In 2017, Shen et al [160] proposed and fabricated a fully optical neural network consisting of 56 Mach-Zehnder interferometers (MZIs) on a silicon PIC, and demonstrated the vowel recognition task.…”

Section: Photonic Neuromorphic Computing Chips: From Devices To Integrated Circuitsmentioning

confidence: 99%

“…Such a highly parallelized framework could potentially process an entire image in a single step and at high speed. In addition, Xu et al [198] demonstrated an optical convolutional accelerator operating at 11.322 TOPS for vector processing, and used a matrix-based approach to perform convolutions of large-scale images with 250000 pixels at a matrix processing speed of 3.8 TOPS.…”

Section: Photonic Neuromorphic Computing Chips: From Devices To Integrated Circuitsmentioning

confidence: 99%

Recent progress of integrated circuits and optoelectronic chips

Xiang

Han

Zhang

et al. 2021

Sci. China Inf. Sci.

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Integrated circuits (ICs) and optoelectronic chips are the foundation stones of the modern information society. The IC industry has been driven by the so-called "Moore's law" in the past 60 years, and now has entered the post Moore's law era. In this paper, we review the recent progress of ICs and optoelectronic chips. The research status, technical challenges and development trend of devices, chips and integrated technologies of typical IC and optoelectronic chips are focused on. The main contents include the development law of IC and optoelectronic chip technology, the IC design and processing technology, emerging memory and chip architecture, brain-like chip structure and its mechanism, heterogeneous integration, quantum chip technology, silicon photonics chip technology, integrated microwave photonic chip, and optoelectronic hybrid integrated chip.

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“…As shown in Figure , the design concept of the single‐neuron perceptron based on the microcomb has been extended to implement a photonic vector convolutional accelerator (VCA). [ 153 ] The weight matrices of ten

3 \times 3

kernels are rearranged into a combined weight vector and then mapped onto the power intensity of 90 comb lines by a single waveshaper. Meanwhile, a classical

500 \times 500

image is electrically flattened into an input vector and encoded onto the intensity of 250 000 temporal symbols.…”

Section: Scalable Photonic Integrated Neural Networkmentioning

confidence: 99%

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Guo

Xiang

Zhang

et al. 2021

Advanced Photonics Research

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Ever‐growing demands of bandwidth, computing speed, and power consumption are now accelerating the transformation of computing research, as work‐at‐home becomes a new normal. Brain‐inspired photonic neuromorphic computing for artificial intelligence is raising an urgent need, and it promises orders‐of‐magnitude higher computing speed and energy efficiency compared with digital electronic counterparts. Photonic neuromorphic networks combine the efficiency of neural networks based on a non‐von Neumann architecture and the benefits of photonics to constitute a new computing paradigm. Herein, some recent advances in photonic neural networks are reviewed, including the concept, principle, key photonic components, and architectures that construct the neuromorphic systems, hoping to provide a better understanding of this emerging field.

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11 TOPS photonic convolutional accelerator for optical neural networks

Cited by 788 publications

References 35 publications

Highlighting photonics: looking into the next decade

Highlighting photonics: looking into the next decade

Recent progress of integrated circuits and optoelectronic chips

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

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