Year: 2025
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide 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 large-scale density matrix renormalization group (DMRG) simulations on single node multiGPU NVIDIA A100 system are presented for selected strongly correlated molecular systems addressing problems on Hilbert space dimensions up to 4.17 × 10 35 .
Authors: Andor Menczer, Örs Legeza
Language: English
Topic: Quantum many-body systems
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Funders: U.S. Department of Energy, Technische Universität München, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Office of Science, Institute for Advanced Study, Technische Universität München, National Research, Development and Innovation Office, Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, Pacific Northwest National Laboratory
OpenAlex ID: W4407143257