Hello, so far, I have taken benchmarks for the cuQuantum&#39;s cuStateVec using a 4-card and 8-card configuration of V100, specifically for quantum volume calculations at depth 10. This time, I took benchmarks for an 8-card configuration of A100 and would like to introduce it. The problem I tackled remains the same. I performed quantum circuit calculations on the GPU using Qiskit+cuStateVec. The computational results are pretty much as expected. This time, since the VRAM has increased from 32GB in the V100 to 40GB, I was able to calculate one more qubit. Overall, the 8 cards of A100 are faster. <img src="https://assets.blueqat.com/public/uploads/us-east-2:4805ff4b-c3cc-4344-b165-86544c34d0bf/2023/10/10/Untitled-ipynb-JupyterLab.png"/> However, to be honest, as of 2023, obtaining eight A100s for quantum calculations is extremely difficult. It&#39;s virtually impossible to get them, so it would be wise to give up on that idea. You 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 taking some benchmarks. That&#39;s all.

[Quantum Computing] NVIDIA cuQuantum Appliance / cuStateVec NVIDIA A100 40GB x8 cards NVLINK configuration Quantum Volume 34 qubits benchmark

Yuichiro Minato