Skoltech’s Quantum Software Initiative is currently offering PhD and Masters student research projects to develop the theory and implementation of software that quantum computers will execute.
Planned research projects have an applied mathematical and numerical analysis flavor and focus more generally on the foundations of (i) non-stoquastic quantum annealing, (ii) quantum enhanced machine learning algorithms, (iii) quantum tensor network methods and (iv) the interrelations between tracks (i), (ii) and (iii). The group has access to large-scale computing facilities.
Skoltech’s Quantum Software Initiative is located in the Center for Computational and Data-Intensive Science (CDISE), and the group is supervised by Jacob Biamonte (Jacob.Biamonte@qubit.org, subject: Skoltech Fellowship).
Skoltech has a research portfolio covering a range of quantum and machine learning technologies. This includes the Quantum Polariton Simulators Group by Pavlos Lagoudakis and Natalia Berloff as well as the Tensor Networks for Machine Learning Group by Ivan Oseledets and Andrzej Cichocki. Collaborative projects related to these topics (i), (ii) and (iii) will be also considered.
Information about Skoltech: http://www.skoltech.ru/en
Information about CDISE: https://crei.skoltech.ru/cdise/
Queries regarding research interests: Jacob Biamonte (Jacob.Biamonte@qubit.org)
Queries regarding application process:
Skoltech is committed to diversity and opportunity, and application materials will be considered without regard to the gender, race, or nationality of the applicant.