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Welcome to Quantiki, the world's leading portal for everyone involved in quantum information science. No matter if you are a researcher, a student or an enthusiast of quantum theory, this is the place you are going to find useful and enjoyable! While here on Quantiki you can: browse our content, including fascinating and educative articles, then create your own account and log in to gain more editorial possibilities.

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Submission deadline: 

Monday, July 16, 2018

Registration deadline: 

Monday, July 16, 2018

We are very pleased to announce

ENTANGLEMENT DAYS workshop
26-28 September 2018

We advertise an attractive fully funded PhD position within DAEDALUS, a new PhD program within the Berlin research landscape. The project is dedicated to recovering dynamical laws from data, within the sub-project "P3: multi-scale sparsity models" of DAEDALUS.

Registration deadline: 

Monday, August 20, 2018

Quantum machine learning arises from the interplay of two fields of research, each one challenging in its own right: on the one hand, classical machine learning and artificial intelligence; on the other, quantum physics, with its growing list of fundamental insights and technological applications. This combination gives rise to fascinating possibilities and diverse lines of scientific inquiry.

Requirements:
-M.Sc. degree in physics or computer science
-declaration of starting Ph.D. studies at the Faculty of Mathematics, Physics, and Iformatics, University of Gdańsk from 1 of Oct. 2018.
-knowledge of quantum mechanics certified by an appropriate exam mark.
-knowledge of English sufficient to read and create scientific article.
-Interest in quantum information

Description of tasks:

Requirements:
-M.Sc. degree in physics
-declaration of starting Ph.D. studies at the Faculty of Mathematics, Physics, and Iformatics, University of Gdańsk from 1 of Oct. 2018.
-knowledge of quantum mechanics certified by an appropriate exam mark.
-knowledge of English sufficient to read and create scientific article.
-Interest in quantum information

Description of tasks:

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