3.2k citations · 3.8k across the 7 of their papers we have counts for
7 papers
On-Chip Optical Convolutional Neural Networks
Hengameh Bagherian, Scott Skirlo, Yichen Shen +3
Convolutional Neural Networks (CNNs) are a class of Artificial Neural Networks(ANNs) that employ the method of convolving input images with filter-kernels for object recognition an…
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing, Yichen Shen, Tena Dubček +5
Using unitary (instead of general) matrices in artificial neural networks (ANNs) is a promising way to solve the gradient explosion/vanishing problem, as well as to enable ANNs to…
Deep Learning with Coherent Nanophotonic Circuits
Yichen Shen, Nicholas C. Harris, Scott Skirlo +8
Artificial Neural Networks are computational network models inspired by signal processing in the brain. These models have dramatically improved the performance of many learning tas…
Millimeter Wave Absorber for Secure Identification
Scott A. Skirlo, Jonathan T. Richard, Magued Nasr +5
We demonstrate thin, flexible, metamaterial films with a strong, narrowband, polarization- and angle-insensitive absorption designed for wavelengths near one millimeter. These stru…
Experimental Observation of Large Chern numbers in Photonic Crystals
Scott A. Skirlo, Ling Lu, Qinghui Yan +3
Despite great interest in the quantum anomalous Hall phase and its analogs, all experimental studies in electronic and bosonic systems have been limited to a Chern number of one. H…
Quantum Čerenkov Radiation: Spectral Cutoffs and the Role of Spin and Orbital Angular Momentum
Ido Kaminer, Maor Mutzafi, Amir Levy +7
We show that the well-known Čerenkov Effect contains new phenomena arising from the quantum nature of charged particles. The Čerenkov transition amplitudes allow coupling between t…
Binary matrices of optimal autocorrelations as alignment marks
Scott A. Skirlo, Ling Lu, Marin Soljačić
We define a new class of binary matrices by maximizing the peak-sidelobe distances in the aperiodic autocorrelations. These matrices can be used as robust position marks for in-pla…