Speaker
Örs Legeza
(Wigner FK)
Description
The interplay of quantum and classical simulation and the delicate divide between them is in the focus of massively parallelized tensor network state (TNS) algorithms designed for high performance computing (HPC). In this contribution, we present novel algorithmic solutions together with implementation details to extend current limits of TNS algorithms on HPC infrastructure building on state-of-the-art hardware and software technologies. Benchmark results obtained via the density matrix renormalization group (DMRG) method are presented for selected strongly correlated molecules on model systems with Hilbert space dimension up to 2.8813e+36.
Primary authors
Andor Menczer
Örs Legeza
(Wigner FK)
