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Grant Award View - GA68328-V2
Quantum-Inspired Machine Learning
GA ID:
GA68328-V2
Agency:
Australian Research Council
Approval Date:
20-Dec-2019
Variation Publish Date:
2-Aug-2021
Variation Date:
27-Jul-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
9-Jun-2020 to 8-Jun-2023
Value (AUD):
$445,500.00
(GST inclusive where applicable)
Varies:
GA68328
- Quantum-Inspired Machine Learning
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Quantum-Inspired Machine Learning
Purpose:
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.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA