374 citations · 2.3k across the 22 of their papers we have counts for
7 papers · 1 filter
Higher-order topological insulators in synthetic dimensions
Avik Dutt, Momchil Minkov, Shanhui Fan
Conventional topological insulators support boundary states that have one dimension lower than the bulk system that hosts them, and these states are topologically protected due to…
-Symmetric Topological Edge-Gain Effect
Alex Y. Song, Xiao-Qi Sun, Avik Dutt +6
We demonstrate a non-Hermitian topological effect that is characterized by having complex eigenvalues only in the edge states of a topological material, despite the fact that the m…
Parallel fault-tolerant programming of an arbitrary feedforward photonic network
Sunil Pai, Ian A. D. Williamson, Tyler W. Hughes +4
Reconfigurable photonic mesh networks of tunable beamsplitter nodes can linearly transform -dimensional vectors representing input modal amplitudes of light for applications suc…
Forward-Mode Differentiation of Maxwell's Equations
Tyler W Hughes, Ian A D Williamson, Momchil Minkov +1
We present a previously unexplored forward-mode differentiation method for Maxwell's equations, with applications in the field of sensitivity analysis. This approach yields exact g…
Penetration depth reduction with plasmonic metafilms
Nathan Z. Zhao, Ian A. D. Williamson, Zhexin Zhao +2
In many optical systems, including metal films, dielectric reflectors, and photonic crystals, electromagnetic waves can experience evanescent decay. The spatial length scale of suc…
Wave Physics as an Analog Recurrent Neural Network
Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov +1
Analog machine learning hardware platforms promise to be faster and more energy-efficient than their digital counterparts. Wave physics, as found in acoustics and optics, is a natu…
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov +3
We introduce an electro-optic hardware platform for nonlinear activation functions in optical neural networks. The optical-to-optical nonlinearity operates by converting a small po…