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08/09/2023
Training neural networks with end-to-end optical backpropagation
Optics is an exciting route for the next generation of computing hardwar...
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03/20/2022
Hybrid training of optical neural networks
Optical neural networks are emerging as a promising type of machine lear...
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09/26/2021
Autoregressive neural-network wavefunctions for ab initio quantum chemistry
Performing electronic structure calculations is a canonical many-body pr...
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07/09/2021
Aligning an optical interferometer with beam divergence control and continuous action space
Reinforcement learning is finding its way to real-world problem applicat...
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07/08/2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Animals have remarkable abilities to adapt locomotion to different terra...
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02/11/2020
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Quantum hardware and quantum-inspired algorithms are becoming increasing...
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12/18/2019
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics
Quantum simulators and processors are rapidly improving nowadays, but th...
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09/09/2019
Exploratory Combinatorial Optimization with Reinforcement Learning
Many real-world problems can be reduced to combinatorial optimization on...
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07/15/2019
