[HTML][HTML] Applications and techniques for fast machine learning in science
In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …
Delocalized photonic deep learning on the internet's edge
Advanced machine learning models are currently impossible to run on edge devices such
as smart sensors and unmanned aerial vehicles owing to constraints on power, processing …
as smart sensors and unmanned aerial vehicles owing to constraints on power, processing …
Coherent SAT solvers: a tutorial
The coherent Ising machine (CIM) is designed to solve the NP-hard Ising problem quickly
and energy efficiently. Boolean satisfiability (SAT) and maximum satisfiability (Max-SAT) are …
and energy efficiently. Boolean satisfiability (SAT) and maximum satisfiability (Max-SAT) are …
The diamond mesh, a phase-error-and loss-tolerant field-programmable MZI-based optical processor for optical neural networks
F Shokraneh, S Geoffroy-Gagnon… - Optics …, 2020 - opg.optica.org
This paper presents the performance analysis of a phase error-and loss-tolerant multiport
field-programmable MZI-based structure for optical neural networks (ONNs). Compared to …
field-programmable MZI-based structure for optical neural networks (ONNs). Compared to …
Addressing the programming challenges of practical interferometric mesh based optical processors
We demonstrate a novel mesh of Mach-Zehnder interferometers (MZIs) for programmable
optical processors. We thoroughly analyze the benefits and drawbacks of previously known …
optical processors. We thoroughly analyze the benefits and drawbacks of previously known …
Photonic-aware neural networks
Photonics-based neural networks promise to outperform electronic counterparts,
accelerating neural network computations while reducing power consumption and footprint …
accelerating neural network computations while reducing power consumption and footprint …
Multidimensional convolution operation with synthetic frequency dimensions in photonics
The convolution operation is widely used in signal and image processing and represents the
most computationally intensive step in convolutional neural networks. We introduce a …
most computationally intensive step in convolutional neural networks. We introduce a …
Increasing ising machine capacity with multi-chip architectures
Nature has inspired a lot of problem solving techniques over the decades. More recently,
researchers have increasingly turned to harnessing nature to solve problems directly. Ising …
researchers have increasingly turned to harnessing nature to solve problems directly. Ising …
On-chip optical phase monitoring in multi-transverse-mode integrated silicon-based optical processors
KR Mojaver… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
We design a Multi-Transverse-Mode Optical Processor (MTMOP) on 220 nm thick Silicon
Photonics exploiting the first two quasi-transverse electric modes (TE0 and TE1). The …
Photonics exploiting the first two quasi-transverse electric modes (TE0 and TE1). The …
A comprehensive survey on nanophotonic neural networks: Architectures, training methods, optimization, and activations functions
In the last years, materializations of neuromorphic circuits based on nanophotonic
arrangements have been proposed, which contain complete optical circuits, laser …
arrangements have been proposed, which contain complete optical circuits, laser …