CORDIS Project
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This project explores the potential of quantum computing in solving complex many-body problems in physics. By developing new quantum machine learning methods, it aims to demonstrate significant advantages over classical approaches, ultimately impacting both quantum computing theory and its applications across various p…
A primary challenge in quantum computing (QC) is finding its ideal application, i.e., an essential problem with the largest advantage of quantum over classical computing.
To resolve it, I propose to focus on the notoriously complex area of quantum many-body systems.
This project will characterise which quantum many-body problems, in various physics domains, allow for significant quantum advantages even over any future machine learning, data-driven methods.
By exploiting my pioneering research i…
UNIVERSITEIT LEIDEN
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