Hello, previously, I conducted benchmarking on various GPU machines. This time, I performed measurements with a single GPU. In addition to the previous multi-GPU configurations, I&#39;ve added the following setups: four V100 GPUs, eight V100 GPUs, and eight A100 GPUs. This time, I conducted benchmarks with NVIDIA cuQuantum/cuStateVec + Qiskit-Aer-GPU using the T4 with 16GB VRAM and the consumer-grade RTX 4090 with 24GB VRAM. The benchmark was conducted on QV circuits with a depth of 10. Here are the results: <img src="https://assets.blueqat.com/public/uploads/us-east-2:4805ff4b-c3cc-4344-b165-86544c34d0bf/2023/09/26/lab-redirects-1-JupyterLab.png"/> The RTX 4090 is indeed impressively fast. While the T4 is a solid entry-level option in terms of speed, the 4090 outperformed it. It&#39;s evident that it can&#39;t compete with multiple GPUs. Additionally, with only 24GB of VRAM, the RTX 4090 had a limit of around 30 qubits.

Quantum Computing: NVIDIA cuQuantum / cuStateVec with NVIDIA T4 / Liquid-Cooled RTX4090 Quantum Volume Benchmark

Yuichiro Minato