Méthodes stochastiques pour la simulation de bruit quantique (H/F) 1 à Paris

Atos SE (Societas Europaea) is a leader in digital services with pro forma annual revenue of circa € 12 billion and circa 100,000 employees in 72 countries. Serving a global client base, the Group provides Consulting & Systems Integration services, Managed Services & BPO, Cloud operations, Big Data & Cyber-security solutions, as well as transactional services through Worldline, the European leader in the payments and transactional services industry. With its deep technology expertise and industry knowledge, the Group works with clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation.

Atos is focused on business technology that powers progress and helps organizations to create their firm of the future. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and is listed on the Euronext Paris market. Atos operates under the brands Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, Unify and Worldline.

Afin de concevoir les algorithmes du futur ordinateur quantiques, les ingénieurs et scientifiques ont recours à des algorithmes de simulation quantique, très consommateurs en ressource de calcul. Les algorithmes du produit Atos Quantum Learning Machine sont parmi les plus efficaces au monde. Il est proposé dans ce stage d’étudier des méthodes stochastiques pour la simulation numérique efficade du bruit quantique.

Compétences requises :

Langages : C/C++, python

Une bonne connaissance du calcul matriciel est fortement recommandée

Des connaissances en informatique quantique et/ou mécanique quantique sont appréciées mais non obligatoires

Durée du stage : 4 à 6 mois – possibilités de stages plus longs et d’alternance selon profil

Niveau : M1 ou M2

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