CE47 - Technologies quantiques

Quantum algorithms for massive data – QuDATA

Submission summary

Quantum information aims at a revolution in information technologies, in the form of a large-scale network of classical and quantum devices able to communicate and process massive amounts of data efficiently and securely. Our goal is a comprehensive analysis of the potential of quantum computing in this context. The objectives of our project are to provide quantum applications for machine learning, design quantum algorithms for models with restricted access to data, design software suites for programming such applications, use our high-performance computing platforms to simulate the behaviour on real data sets, and optimize the resources of such algorithms. Our ambition is to push quantum information protocols closer to commercialization and create a new platform for potential disruptive technologies through the synergy of quantum mechanics and information sciences.

Project coordination

Frédéric Magniez (Institut de Recherche en Informatique Fondamentale)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

BULL BULL SAS
LaBRI Laboratoire Bordelais de Recherche en Informatique
IRIF Institut de Recherche en Informatique Fondamentale

Help of the ANR 482,468 euros
Beginning and duration of the scientific project: December 2018 - 48 Months

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