Thesis supervisor: Tamás Kozsik
co-supervisor: Örs Legeza
Location of studies (in Hungarian): Eötvös Loránd University, Faculty of Informatics Abbreviation of location of studies: ELTE
Description of the research topic:
Nowadays, tensor network state (TNS) algorithms are the most efficient methods to simulate quantum systems on classical computers. Besides that, computational complexity can be reduced from an exponential to a polynomial scaling, the underlying tensor algebra can be organized into millions of independent subtasks. This latter feature makes them excellent candidates for implementations on high performance computers (HPCs) and on graphics processing units (GPUs), pushing developments towards the limit of exascale computations. Utilizing various concepts of quantum information theory, the candidate’s research tasks include development of efficient massive paralelization of the related algorithmic solutions and to perform simulation on supercomputers.
Required language skills: English Recommended language skills (in Hungarian): Hungarian Further requirements: Programming skills in C++, CUDA, Python, Linux. Participating actively in code developments and research. Further skills include knowledge of Matlab and some background on HPC environments. Missing background can be acquired during the research progr
Number of students who can be accepted: 2
Deadline for application: 2025-05-30
2025. IV. 02. ODT ülés Az ODT következő ülésére 2025. május 30-án, pénteken 10.00 órakor kerül sor a BC22 irodaház Marcus Aurelius termében (1085 Bp. Baross u. 22. földszint).
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