A5108900763- Quantum Computing Algorithms and Architecture
- Quantum many-body systems
- Quantum and electron transport phenomena
- Parallel Computing and Optimization Techniques
- Evaluation Methods in Various Fields
- Advanced Computational Techniques and Applications
- Environmental and Agricultural Sciences
- Magneto-Optical Properties and Applications
- Power Line Inspection Robots
- Magnetic Field Sensors Techniques
University of Shanghai for Science and Technology
2024-2025
Guangdong Polytechnic Normal University
2009
Increasing the degree of freedom for quantum entanglement within tensor networks can enhance depiction essence in many-body systems. However, this enhancement comes with a significant increase computational complexity and critical slowing down, which drastically increases time consumption. This work converts network algorithm into classical circuit on Field Programmable Gate Arrays (FPGAs) arranges computing unit dense parallel design, efficiently optimizing Test results show that FPGA-based...
A new implementation of many-body calculations is paramount importance in the field computational physics. In this study, we leverage capabilities Field Programmable Gate Arrays (FPGAs) for conducting quantum calculations. Through design appropriate schemes Monte Carlo and tensor network methods, effectively utilize parallel processing provided by FPGAs. This has resulted a remarkable tenfold speedup compared to CPU-based computation algorithm. We also demonstrate, first time, utilization...
<title>Abstract</title> A new implementation of many-body calculations is paramount importance in the field computational physics. In this study, we leverage capabilities Field Programmable Gate Arrays (FPGAs) for conducting quantum calculations. Through design appropriate schemes Monte Carlo and tensor network methods, effectively utilize parallel processing provided by FPGAs. This has resulted a remarkable tenfold speedup compared to CPU-based computation algorithm. We also demonstrate,...