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Finding Order in Large-scale Structures by Quantum Computing

Project description

New approaches to quantum algorithm development

Quantum machine learning is an especially interesting aspect of the emerging field of quantum computing. However, since recent developments are mainly based on heuristic approaches that are as yet unable to be tested properly, quantum machine learning lacks a firm theoretical understanding. With this in mind, the EU-funded QuantOrder project aims to outline new approaches for quantum algorithm development while also improving aspects of the quantum machine learning theory. The project’s ideas will all focus on finding large-scale structures in various objects, taking advantage of the efficiency that quantum computers demonstrate in recognising patterns.

Call for proposal

H2020-MSCA-IF-2019
See other projects for this call

Coordinator

RENYI ALFRED MATEMATIKAI KUTATOINTEZET
Address
Realtanoda Street 13-15
1053 Budapest
Hungary
Activity type
Other
EU contribution
€ 139 850,88