Hello, until now, I have been benchmarking the cuQuantum&#39;s cuStateVec with a 4-card and 8-card configuration of the V100 for quantum volume calculations at depth 10. This time, I benchmarked an 8-card configuration of the A100 40G (not 80G), so I would like to introduce it. The problem I tested remains the same. I used Qiskit + cuStateVec to perform quantum circuit calculations on the GPU. The calculation results were almost as expected. Since the VRAM has increased from 32GB in the V100 to 40GB this time, I was able to calculate one more qubit. Overall, the 8 cards of the A100 are faster. <img src="https://assets.blueqat.com/public/uploads/us-east-2:4805ff4b-c3cc-4344-b165-86544c34d0bf/2023/09/21/Untitled-ipynb-JupyterLab (1).png"/> However, to be honest, as of 2023, obtaining eight A100 cards for quantum computing is extremely difficult. It&#39;s practically impossible to get your hands on them, so it might be wiser to give up on that idea. You&#39;ll probably have no choice but to use the V100 or H100. Next, if I can get my hands on an H100 environment, I&#39;ll try to benchmark it. That&#39;s all.

[Quantum Computing] NVIDIA cuQuantum Appliance / cuStateVec NVIDIA A100 40GB x8 cards NVLINK configuration Quantum volume 34-qubit benchmark"

Yuichiro Minato