Photonic matrix multiplication lights up photonic accelerator and beyond

H Zhou, J Dong, J Cheng, W Dong, C Huang… - Light: Science & …, 2022‏ - nature.com
Matrix computation, as a fundamental building block of information processing in science
and technology, contributes most of the computational overheads in modern signal …

Photonics for artificial intelligence and neuromorphic computing

BJ Shastri, AN Tait, T Ferreira de Lima, WHP Pernice… - Nature …, 2021‏ - nature.com
Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …

An on-chip photonic deep neural network for image classification

F Ashtiani, AJ Geers, F Aflatouni - Nature, 2022‏ - nature.com
Deep neural networks with applications from computer vision to medical diagnosis,,,–are
commonly implemented using clock-based processors,,,,,,,–, in which computation speed is …

In-memory photonic dot-product engine with electrically programmable weight banks

W Zhou, B Dong, N Farmakidis, X Li… - Nature …, 2023‏ - nature.com
Electronically reprogrammable photonic circuits based on phase-change chalcogenides
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …

A silicon photonic–electronic neural network for fibre nonlinearity compensation

C Huang, S Fujisawa, TF de Lima, AN Tait, EC Blow… - Nature …, 2021‏ - nature.com
In optical communication systems, fibre nonlinearity is the major obstacle in increasing the
transmission capacity. Typically, digital signal processing techniques and hardware are …

Parallel convolutional processing using an integrated photonic tensor core

J Feldmann, N Youngblood, M Karpov, H Gehring, X Li… - Nature, 2021‏ - nature.com
With the proliferation of ultrahigh-speed mobile networks and internet-connected devices,
along with the rise of artificial intelligence (AI), the world is generating exponentially …

Deep learning for the design of photonic structures

W Ma, Z Liu, ZA Kudyshev, A Boltasseva, W Cai… - Nature photonics, 2021‏ - nature.com
Innovative approaches and tools play an important role in sha** design, characterization
and optimization for the field of photonics. As a subset of machine learning that learns …

Deep learning with coherent VCSEL neural networks

Z Chen, A Sludds, R Davis III, I Christen, L Bernstein… - Nature …, 2023‏ - nature.com
Deep neural networks (DNNs) are resha** the field of information processing. With the
exponential growth of these DNNs challenging existing computing hardware, optical neural …

An optical neural network using less than 1 photon per multiplication

T Wang, SY Ma, LG Wright, T Onodera… - Nature …, 2022‏ - nature.com
Deep learning has become a widespread tool in both science and industry. However,
continued progress is hampered by the rapid growth in energy costs of ever-larger deep …

Noise-resilient and high-speed deep learning with coherent silicon photonics

G Mourgias-Alexandris, M Moralis-Pegios… - Nature …, 2022‏ - nature.com
The explosive growth of deep learning applications has triggered a new era in computing
hardware, targeting the efficient deployment of multiply-and-accumulate operations. In this …