ARC Future Fellowships - Grant ID: FT130101744

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT130101744

Funding Status
Closed

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Funded Activity Summary

Diagnosing quantum noise sources in quantum information processors via machine learning. Noise is the primary obstacle to building large-scale quantum information processors that have the potential to revolutionise our understanding of the world. This project will use the powerful techniques and methods of machine learning to identify, characterise, and correct noise sources in the next generation of quantum information processors. These innovative techniques will allow the reliability of quantum computer components to be tested, and thus help identify which candidate technologies are capable of building a scalable quantum computer.

Funded Activity Details

Start Date: 01-01-2014

End Date: 31-12-2017

Funding Scheme: ARC Future Fellowships

Funding Amount: $625,426.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Quantum Physics | Quantum Information, Computation and Communication |

ANZSRC Socio-Economic Objective (SEO)

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

Other Keywords

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Physical Sciences | Quantum Information, Computation and Communication | Quantum Physics

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