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Communications Physics
Article . 2025 . Peer-reviewed
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Communications Physics
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Many-body computing on Field Programmable Gate Arrays

Authors: Songtai Lv; Yang Liang; Yuchen Meng; Xiaochen Yao; Jincheng Xu; Yang Liu; Qibin Zheng; +1 Authors

Many-body computing on Field Programmable Gate Arrays

Abstract

Abstract A new implementation of many-body calculations is of paramount importance in the field of computational physics. In this study, we leverage the capabilities of Field Programmable Gate Arrays (FPGAs) for conducting quantum many-body calculations. Through the design of appropriate schemes for Monte Carlo and tensor network methods, we effectively utilize the parallel processing capabilities provided by FPGAs. This has resulted in a remarkable tenfold speedup compared to CPU-based computation for a Monte Carlo algorithm. We also demonstrate, for the first time, the utilization of FPGA to accelerate a typical tensor network algorithm. Our findings unambiguously highlight the significant advantages of hardware implementation and pave the way for novel approaches to many-body calculations.

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Keywords

QB460-466, Condensed Matter - Strongly Correlated Electrons, Quantum Physics, High Energy Physics - Lattice, Strongly Correlated Electrons (cond-mat.str-el), Statistical Mechanics (cond-mat.stat-mech), Physics, QC1-999, High Energy Physics - Lattice (hep-lat), FOS: Physical sciences, Astrophysics, Quantum Physics (quant-ph), Condensed Matter - Statistical Mechanics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold
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