494 citations · 1.8k across the 31 of their papers we have counts for
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Deep learning in nano-photonics: inverse design and beyond
Peter R. Wiecha, Arnaud Arbouet, Christian Girard +1
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential for inverse design of photonic devices or nanostructures. Many of the recent works on m…
Deep learning enabled design of complex transmission matrices for universal optical components
Nicholas J. Dinsdale, Peter R. Wiecha, Matthew Delaney +8
Recent breakthroughs in photonics-based quantum, neuromorphic and analogue processing have pointed out the need for new schemes for fully programmable nanophotonic devices. Univers…
Imaging through highly scattering environments using ballistic and quasi-ballistic light in a common-path Sagnac interferometer
Jesse Dykes, Zeina Nazer, Allard P. Mosk +1
The survival of time-reversal symmetry in the presence of strong multiple scattering lies at the heart of some of the most robust interference effects of light in complex media. He…