HIGH-PERFORMANCE SUPERCOMPUTING TECHNIQUES FOR LARGE-SCALE QUANTUM MANY-BODY SIMULATIONS BASED ON MATRIX PRODUCT STATES
Keywords:
Matrix Product States, Tensor Networks, High Performance Computing, Quantum Many-Body Systems, Supercomputing, Parallel Computing, GPU Acceleration, Distributed Memory, Quantum Simulation, DMRGAbstract
Quantum many-body systems represent one of the mostcomputationally demanding problems in condensed matter physics,
quantum chemistry, and quantum information science. Traditional numerical methods experience exponential growth in computationalcomplexity as system size increases, making large-scale
References
1. White, S. R. (1992). Density matrix formulation for quantum renormalization groups. Physical Review Letters, 69(19), 2863–2866.
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Published
2023-01-20
How to Cite
Dr. Sudhanshu Shekhar. (2023). HIGH-PERFORMANCE SUPERCOMPUTING TECHNIQUES FOR LARGE-SCALE QUANTUM MANY-BODY SIMULATIONS BASED ON MATRIX PRODUCT STATES. Journal of Computational Analysis and Applications (JoCAAA), 31(1), 1523–1536. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5756
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