356 citations · 816 across the 7 of their papers we have counts for
7 papers
Programmable photonic system for quantum simulation in arbitrary topologies
Ben Bartlett, Olivia Y. Long, Avik Dutt +1
Synthetic dimensions have generated great interest for studying many types of topological, quantum, and many-body physics, and they offer a flexible platform for simulation of inte…
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Sunil Pai, Zhanghao Sun, Tyler W. Hughes +11
Neural networks are widely deployed models across many scientific disciplines and commercial endeavors ranging from edge computing and sensing to large-scale signal processing in d…
Deterministic photonic quantum computation in a synthetic time dimension
Ben Bartlett, Avik Dutt, Shanhui Fan
Photonics offers unique advantages as a substrate for quantum information processing, but imposes fundamental scalability challenges. Nondeterministic schemes impose massive resour…
Universal programmable photonic architecture for quantum information processing
Ben Bartlett, Shanhui Fan
We present a photonic integrated circuit architecture for a quantum programmable gate array (QPGA) capable of preparing arbitrary quantum states and operators. The architecture con…
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…
A distributed simulation framework for quantum networks and channels
Ben Bartlett
We introduce the Simulator for Quantum Networks and Channels (), an open-source Python library for creating parallelized simulations of distributed quantum inform…