Video URL
https://pirsa.org/16060005Machine Learning with Quantum-Inspired Tensor Networks
Source RepositoryPIRSA
Collection
Talk Type
Scientific Series
Subject
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.