Groundbreaking FPGA Board for Quantum Computer Simulations: Developed by Keio University and University of Tsukuba

2023-12-12 08:21:10
Developed FPGA board

Keio UniversityandUniversity of TsukubaThe research group announced on the 11th that they have developed a board that can run state vector quantum computer simulations with more than 40 qubits. It is said that a system that can be installed on a desktop, including an FPGA board and SATA SSD, can be built for regarding 4 million yen.

State vector type quantum computer simulations, which are used to develop algorithms for quantum gate type quantum computers, can provide accurate simulations, but require a huge amount of memory. Therefore, it was necessary to occupy a supercomputer for a certain period of time, making it difficult to conduct large-scale simulations.

This time, the research group directly connected 32 SATA SSDs with a capacity of 8 TB to a newly developed FPGA board, and designed a logic circuit that can handle a huge amount of memory at the same time. By performing calculations equivalent to qubit manipulation directly on hardware, we were able to simulate up to 43 qubits in a single system.

By developing hardware that performs calculations equivalent to gate operations and replacing them according to the simulation, we have achieved a wealth of functionality even with an inexpensive FPGA. Although SATA SSD is slower than the main memory of a supercomputer, it has been designed to allow sector-by-sector data access, making it possible to run a 40-qubit simulation in regarding three hours. In addition, the FPGA board, including a SATA SSD, can be realized for around 4 million yen, and it is also small enough to be installed on a desktop.

Currently, SATA 3Gbps is used for stable and long-term operation, and the disadvantage is that the execution time is long, but it is expected to be significantly improved by switching to SATA 3.0 or later. They are also conducting research on data compression using FPGA hardware, improving disk access efficiency, and reducing execution time using high-speed interfaces such as NVMe.

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