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PIRSA:16060005

Machine Learning with Quantum-Inspired Tensor Networks

APA

(2016). Machine Learning with Quantum-Inspired Tensor Networks. Perimeter Institute for Theoretical Physics. https://pirsa.org/16060005

Talk numberPIRSA:16060005
Source RepositoryPIRSA
Collection

Abstract

Tensor networks have been very successful for approximating quantum states that would otherwise require exponentially many parameters.

I will discuss how a similar compression can be achieved in models used to machine learn data, such as sets of images, by representing the fitting parameters as a tensor network. The resulting model achieves state-of-the-art performance on standard classification tasks. I will discuss implications for machine learning research, exploring which insights from physics could be imported into this field.