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Found 6 papers, 4 papers with code
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Our findings suggest a new training paradigm for photonics-accelerated artificial intelligence based entirely on a physical analog of the popular backpropagation technique.
Deterministic photonic quantum computation in a synthetic time dimension
Photonics offers unique advantages as a substrate for quantum information processing, but imposes fundamental scalability challenges.
Quantum Physics Optics
Universal programmable photonic architecture for quantum information processing
We present a photonic integrated circuit architecture for a quantum programmable gate array (QPGA) capable of preparing arbitrary quantum states and operators.
Quantum Physics Optics
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks
We introduce an electro-optic hardware platform for nonlinear activation functions in optical neural networks.
A distributed simulation framework for quantum networks and channels
We introduce the Simulator for Quantum Networks and Channels ($\texttt{SQUANCH}$), an open-source Python library for creating parallelized simulations of distributed quantum information processing.
Quantum Physics Computational Physics
Matrix optimization on universal unitary photonic devices
Universal unitary photonic devices can apply arbitrary unitary transformations to a vector of input modes and provide a promising hardware platform for fast and energy-efficient machine learning using light.
