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Quantum Computer Simulation on GPU Cluster Incorporating Data Locality

机译:GPU集群中的量子计算机仿真结合了数据局部

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Quantum computer simulation provides researchers with tools for verification of quantum algorithms. GPU (Graphics Processing Units) cluster is an advisable platform for this task. However, the high cost of communication between GPUs makes the simulation inefficiency. To overcome this drawback, we propose the following two methods. (1) A method for GPU cluster quantum simulation to improve the data locality is introduced, and two schemes for data exchanging are proposed. (2) A novel data distribution method for quantum computer simulation on GPU cluster is proposed. Experimental results show that the simulation of 33-qubit Quantum Fourier Transform algorithm using 4 nodes outperforms the serial program of the CPU cluster with a speedup of 129 times.
机译:量子计算机仿真为研究人员提供了用于验证量子算法的工具。 GPU(图形处理单位)群集是此任务的可建议平台。然而,GPU之间的高昂通信成本使得模拟效率低下。为了克服这个缺点,我们提出以下两种方法。 (1)引入了一种用于改善数据局部性的GPU簇量子模拟的方法,提出了两种用于数据交换的方案。 (2)提出了一种用于GPU集群上的量子计算机仿真的新型数据分配方法。实验结果表明,使用4个节点的33 QUB比量子傅里叶变换算法的模拟优于CPU集群的串行程序,增速为129次。

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