Hello, today I will be presenting benchmarks for quantum computer simulations using the latest NVIDIA enterprise GPUs.First, let&#39;s compare the performance between a CPU and the T4 GPU using the quantum volume benchmark. こんにちは、本日は最新のNVIDIAの業務用GPUを使った量子コンピュータのシミュレーションのベンチマークを掲載します。まずはCPUとT4 GPUを比較してみます。量子ボリュームのベンチマークを使います。 Quantum Volumedepth=30shots=10 CPU / QiskitT4 GPU / Qiskit + cuQuantum, cuStateVecH100 GPU / Qiskit + cuQuantum, cuStateVecRTX6000ada GPU / Qiskit + cuQuantum, cuStateVec <img src="https://assets.blueqat.com/public/uploads/us-east-2:4805ff4b-c3cc-4344-b165-86544c34d0bf/2024/02/25/ダウンロード.png"/> We compared the results for 15-24 qubits using both a CPU and the T4 GPU. Even at this level, there is a noticeable difference.15-24量子ビットの結果をCPUとT4 GPUを利用して比較しました。だいぶこの程度でも差が出ます。 CPU (sec.)<pre class="ql-syntax" spellcheck="false">[0.05527604, 0.127417613, 0.269225495, 0.695744472, 2.309896906, 2.630688224, 5.06164711, 14.880064933, 27.564670069, 55.680368074]
</pre> GPU (sec.)<pre class="ql-syntax" spellcheck="false">[0.027790243, 0.018253229, 0.029684344, 0.053728839, 0.100438104, 0.196138116, 0.172535676, 0.326441277, 0.643293149, 1.422738469]
</pre> Next, we compared the same calculations between the T4 GPU , 6000ada and H100. The T4 was able to compute up to 29 qubits, while the H100 and 6000ada could handle up to 31 qubits.次に同じ計算をT4 GPUと6000ada, H100で比較してみます。T4は29量子ビットまで、6000adaとH100は31量子ビットまで計算できました。 <img src="https://assets.blueqat.com/public/uploads/us-east-2:4805ff4b-c3cc-4344-b165-86544c34d0bf/2024/02/26/ダウンロード.png"/> T4 GPU (sec, 15 to 29qubits)<pre class="ql-syntax" spellcheck="false">[0.02211307,
 0.019795667,
 0.028517052,
 0.053816821,
 0.100187135,
 0.165203491,
 0.18583667,
 0.353295851,
 0.702256174,
 1.574080063,
 3.140908516,
 6.729538202,
 13.634168086,
 29.230031644,
 59.903638174]
</pre> H100 GPU (sec, 15 to 31qubits)<pre class="ql-syntax" spellcheck="false">[0.004408282,
 0.002088285,
 0.002336543,
 0.003523071,
 0.005282595,
 0.008617269,
 0.020409294,
 0.038321433,
 0.085984668,
 0.172407263,
 0.374064169,
 0.751794014,
 1.646756666,
 3.367948447,
 7.20650965,
 14.179322945]
</pre> RTX6000ada GPU (sec, 15 to 31qubits)<pre class="ql-syntax" spellcheck="false">[0.003902309,
 0.004174494,
 0.013700943,
 0.006497565,
 0.009483768,
 0.017166366,
 0.02926088,
 0.060440877,
 0.118379787,
 0.238534027,
 0.475478445,
 1.02003665,
 2.055512626,
 4.442880517,
 9.007608282,
 19.095433893,
 37.670469698]
</pre> Even a single H100 is sufficiently fast. I&#39;ll try it with multiple units when I have time. That&#39;s all for now.単体のH100でも十分早いですね。時間がある時に複数台でやってみますね。以上です。

NVIDIA H100&RTX6000ada GPU's performance in cuQuantum benchmarks / NVIDIA H100&RTX6000ada GPUでcuQuantumベンチマーク

Yuichiro Minato