High-speed batch processing of semidefinite programs with feedforward neural networks

High-speed batch processing of semidefinite programs with feedforward neural networks

Semidefinite programming is an important optimization task, often used in time-sensitive applications. Though they are solvable in polynomial time, in practice they can be too slow to be used in online, i.e. real-time applications. Here we propose to solve feasibility semidefinite programs using art...

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Bibliographic Details
Main Authors: Tamás Kriváchy, Yu Cai, Joseph Bowles, Daniel Cavalcanti, Nicolas Brunner
Format: Article
Language:English
Published: IOP Publishing 2021-01-01
Series:New Journal of Physics
Subjects:
semidefinite program
neural network
optimization
quantum
algorithm
machine learning
Online Access:https://doi.org/10.1088/1367-2630/ac2d72

Internet

https://doi.org/10.1088/1367-2630/ac2d72

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