Communications Physics (Mar 2025)

Many-body computing on Field Programmable Gate Arrays

  • Songtai Lv,
  • Yang Liang,
  • Yuchen Meng,
  • Xiaochen Yao,
  • Jincheng Xu,
  • Yang Liu,
  • Qibin Zheng,
  • Haiyuan Zou

DOI
https://doi.org/10.1038/s42005-025-02050-z
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 8

Abstract

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Abstract Improving many-body computational efficiency is crucial for exploring condensed matter systems. However, existing acceleration methods are limited and mostly based on von Neumann-like architectures. Here we leverage the capabilities of Field Programmable Gate Arrays for conducting quantum many-body calculations and realize a tenfold speedup over Central Processing Unit-based computation for a Monte Carlo algorithm. By using a supercell structure and simulating the hardware architecture with High-Level Synthesis, we achieve $$O(1)$$ O ( 1 ) scaling for the time of one sweep, regardless of the overall system size. We also demonstrate the utilization of programmable hardware to accelerate a typical tensor network algorithm for ground-state calculations. Additionally, we show that the current hardware computing acceleration is on par with that of multi-threaded Graphics Processing Unit parallel processing. Our findings highlight the advantages of hardware implementation and pave the way for efficient many-body computations.