Discovery Projects - Grant ID: DP200103760

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200103760

Funding Status
Active

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Funded Activity Summary

Quantum-Inspired Machine Learning. This project aims to develop new machine learning techniques based around the close correspondence between neural networks used in deep learning, and tensor networks used in quantum physics. Tensor networks are a form of information compression that is useful in machine learning to construct a compact representation of a large data set in a way that is more amenable to understanding the internal structure than a deep neural network. Expected outcomes of this project include more resilient algorithms for machine learning, and new ways to represent quantum states that will impact fundamental physics. The resulting benefits include enhanced capacity for cross-discipline collaboration, and improved methods for future industrial applications.

Funded Activity Details

Start Date: 09-06-2020

End Date: 25-08-2023

Funding Scheme: Discovery Projects

Funding Amount: $405,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Quantum Physics | Quantum Information, Computation and Communication | Pattern Recognition and Data Mining | Knowledge Representation and Machine Learning

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Physical Sciences | Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Physical Sciences | Knowledge Representation and Machine Learning | Pattern Recognition and Data Mining | Quantum Information, Computation and Communication | Quantum Physics

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