Discovery Early Career Researcher Award - Grant ID: DE210101323

Funding Activity

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Funded Activity Summary

Random tensors and random matrices: interactions and applications. This project aims at improving knowledge on probabilistic objects having applications in, for instance, mathematical-physics, statistical physics, quantum gravity and data science. In doing so, we expect to produce new mathematical results by building upon both classical approaches and innovative ones. In particular, on one hand, the extension of classical graphical methods will be developed and, on another hand, generalized probability theories will be used to provide new insights. The expected outcomes include a better understanding of the generic properties of quantum states. This should significantly benefit to mathematicians and physicists whose models use those objects and may impact the broader community of engineers and technicians.

Funded Activity Details

Start Date: 31-03-2022

End Date: 17-03-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $345,448.00

Funder: Australian Research Council