高速缓存阻塞技术在超级计算机上的大规模量子计算模拟

J. Doi, H. Horii
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引用次数: 11

摘要

经典计算机需要大量的内存资源和计算能力来模拟具有大量量子比特的量子电路。即使是可以存储大量数据的超级计算机,在并行量子计算模拟方面也面临着可伸缩性问题,因为数据在分布式内存空间之间移动的延迟。在这里,我们通过在量子电路中插入交换门来应用缓存阻塞技术来减少数据移动。我们在开源仿真框架Qiskit Aer中实现了这种技术。我们在GPU集群上评估了我们的模拟器,并观察到良好的可伸缩性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
Classical computers require large memory resources and computational power to simulate quantum circuits with a large number of qubits. Even supercomputers that can store huge amounts of data face a scalability issue in regard to parallel quantum computing simulations because of the latency of data movements between distributed memory spaces. Here, we apply a cache blocking technique by inserting swap gates in quantum circuits to decrease data movements. We implemented this technique in the open source simulation framework Qiskit Aer. We evaluated our simulator on GPU clusters and observed good scalability.
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