  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.
