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20212024
most citedSingle-chip photonic deep neural network for instantaneous image classification

694 citations · 805 across the 9 of their papers we have counts for

collaborators

9 papers

physics.optics2024

Modulation-Free Laser Stabilization with Extended Locking Range on a SiN Chip

Mohamad Hossein Idjadi, Farshid Ashtiani, Kwangwoong Kim

We demonstrate a modulation-free laser stabilization system using a cavity-coupled MZI with aided acquisition on a low-loss SiN chip, achieving more than an order-of-magnitude impr…

physics.optics2024

A programmable photonic memory

Farshid Ashtiani

The significant advancements in integrated photonics have enabled high-speed and energy efficient systems for various applications from data communications and high-performance com…

physics.optics2024★ 1 cited

Wideband, Efficient AlScN-Si Acousto-Optic Modulator in a Commercially Available Silicon Photonics Process

Mertcan Erdil, Izhar, Yang Deng +5

Acousto-optic integration offers numerous applications including low-loss microwave signal processing, nonreciprocal light propagation, frequency comb generation, and broadband aco…

physics.optics2023★ 5 cited

Programmable Integrated Photonics for Topological Hamiltonians

Mehmet Berkay On, Farshid Ashtiani, David Sanchez-Jacome +3

A variety of topological Hamiltonians have been demonstrated in photonic platforms, leading to fundamental discoveries and enhanced robustness in applications such as lasing, sensi…

cs.ET2023

Towards fully integrated photonic backpropagation training and inference using on-chip nonlinear activation and gradient functions

Farshid Ashtiani, Mohamad Hossein Idjadi

Gradient descent-based backpropagation training is widely used in many neural network systems. However, photonic implementation of such method is not straightforward mainly since h…

physics.optics2023★ 1 cited

A surface-normal photodetector as nonlinear activation function in diffractive optical neural networks

Farshid Ashtiani, Mohamad Hossein Idjadi, Ting-Chen Hu +7

Optical neural networks (ONNs) enable high speed parallel and energy efficient processing compared to conventional digital electronic counterparts. However, realizing large scale s…

physics.optics2023★ 94 cited

Inverse-designed low-index-contrast structures on silicon photonics platform for vector-matrix multiplication

Vahid Nikkhah, Ali Pirmoradi, Farshid Ashtiani +3

Inverse-designed Silicon photonic metastructures offer an efficient platform to perform analog computations with electromagnetic waves. However, due to computational difficulties,…

cs.ET2021★ 694 cited

Single-chip photonic deep neural network for instantaneous image classification

Farshid Ashtiani, Alexander J. Geers, Firooz Aflatouni

Deep neural networks with applications from computer vision and image processing to medical diagnosis are commonly implemented using clock-based processors, where computation speed…

physics.app-ph2021★ 10 cited

Inverse-designed multi-dimensional silicon photonic transmitters

Ki Youl Yang, Alexander D. White, Farshid Ashtiani +33

Modern microelectronic processors have migrated towards parallel computing architectures with many-core processors. However, such expansion comes with diminishing returns exacted b…