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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Running Qiskit on ROCm Platform

Not scheduled
1h
Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Hampton Roads Ballroom and Foyer Area

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Poster Poster Poster Session

Speaker

Fu, Shiyuan (IHEP)

Description

With the computing power far superior to classical computers, quantum computing has attracted increasing attention and interest all over the world. Many prototypes are constructed like IBM Osprey, USTC Jiuzhang 2.0 to demonstrate the advantage of quantum computing, and corresponding developing SDKs are proposed to make the utmost of these devices.

Qiskit is one of the most popular quantum computing developing kits from IBM, which can run quantum circuits on IBM’s physical machines or on simulators in digital computers. Quantum computing simulation for large and/or deep quantum circuits requires quite huge computing resource and memory, and Qiskit can accelerate or simulations or extend the scales on NVIDIA GPUs with the support of CUDA-backend Thrust library.

In the past few years, AMD’s heterogeneous computing framework – ROCm similar to CUDA, has supported many software like TensorFlow, pyTorch, while qiskit has not been ported still.

To expand the usability of qiskit, we made some efforts to porting qiskit to ROCm platform, and performed some benchmark tests on both ROCm and CUDA platform. In this work, we use ROCm 5.0 and tests are performed on a cluster with ROCm accelerating devices, and for comparison, we use CUDA 11.7 and a NVIDIA V100 cluster. The performances on ROCm and CUDA platform are comparable in a way, while more efforts are needed to optimizing the performance.

Consider for long presentation No

Primary authors

Bi, Yujiang (Imstitute of High Energy Physics Chinese Academy) Xiao, Yi (Dawning Information Industry Co., LTD.) Xu, Shun (Computer Network Information Center, Chinese Academy of Sciences) Ma, Yunheng (Beijing Academy of Quantum Information Sciences)

Presentation materials

There are no materials yet.

Peer reviewing

Paper