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HpQC: A New Efficient Quantum Computing Simulator

机译:HPQC:一个新的高效量子计算模拟器

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With the continuous popularization of quantum computing, high-efficiency quantum computing simulators have attracted researchers' attention because the running time and memory overhead of quantum computing is increased exponentially, which means that it is challenging to be simulated on a traditional computer. The current mainstream work solves this problem by using multi-node clusters, and we find that its single-node performance has not been effectively exerted. This paper proposes HpQC (High-performance Quantum Computing), a simulator that can efficiently parallel quantum computing on a single-node multi-core processor. First, HpQC used AVX2 and FMA instruction sets to maximize the advantages of SIMD (Single Instruction Multiple Data) vectorizations; second, it reduced the CPU calculation cycle by using faster and more efficient bit operations; and finally, we designed innovation data structure to utilize spatial locality of cache effectively. Besides, this article selects the state-of-the-art quantum computing simulator, QuEST (the Quantum exact simulation toolkit), as the benchmark for performance evaluation. For the quantum fourier transform, experimental results show that HpQC can achieve an average acceleration of 2.20x (GNU compiler) and 1.91x (Intel compiler), respectively, compared to QuEST. As for the random quantum circuit program, HpQC can achieve an average speedup of 1.74x (GNU compiler) and 1.51x (Intel compiler), respectively, compared to QuEST.
机译:随着量子计算的不断推广,高效量子计算模拟器引起了研究人员的注意,因为量子计算的运行时间和记忆开销是指数增长的,这意味着在传统计算机上模拟它是具有挑战性的。目前的主流工作通过使用多节点群集解决了这个问题,并且我们发现它的单节点性能没有得到有效地施加。本文提出了HPQC(高性能量子计算),一种模拟器,可以在单节点多核处理器上有效地平行量子计算。首先,HPQC使用AVX2和FMA指令集以最大限度地提高SIMD(单指令多数据)矢量化的优势;其次,它通过使用更快更高的比特操作来减少CPU计算周期;最后,我们设计了创新数据结构,以有效地利用高速缓存的空间局部。此外,本文选择了最先进的量子计算模拟器,Quest(量子精确仿真工具包),作为性能评估的基准。对于量子傅里叶变换,实验结果表明,与Quest相比,HPQC可以分别实现2.20倍(GNU编译器)和1.91x(英特尔编译器)的平均加速度。对于随机量子电路程序,与Quest相比,HPQC可以分别实现1.74倍(GNU编译器)和1.51x(英特尔编译器)的平均速度。

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