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Computing Permanents for Boson Sampling on Tianhe-2 Supercomputer

机译:计算天河-2超级计算机上玻色子采样的永久性

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摘要

Boson sampling, a specific quantum computation problem, is widely regarded tobe one of the most achievable fields in which quantum machine will outperformthe most powerful classical computer in the near term, although up to now noupper-bound of how fast the classical computers can compute matrix permanents,core problem of Boson sampling, has been reported. Here we test the computingof the matrix permanent on Tianhe-2, a supercomputer retaining its position asthe world's No. 1 system for six times since June 2013. We arrived at the time(about 77.41~112.44 minutes) to compute the permanent of a $50\times 50$ matrixin an acceptable precision. In addition, we have found that Ryser's algorithmwill produce an unacceptable error with the increase of problem scale, comparedto Balasubramanian-Bax/Franklin-Glynn's algorithm in the same complexity. Theprecision issue suggests carefully check in future research of Boson sampling,and comprehensive comparison between quantum computer and classical computer.
机译:玻色子采样是一个特定的量子计算问题,被广泛认为是近期内量子机器将比最强大的经典计算机更胜一筹的最容易实现的领域之一,尽管到目前为止,经典计算机能够以多快的速度计算矩阵据报道,永久物是玻色子采样的核心问题。在这里,我们测试了天河2号矩阵永久物的计算,这是一台超级计算机,自2013年6月以来已连续六次保持其全球第一的地位。我们到达当时(约77.41〜112.44分钟)以计算50美元的永久物\ times 50 $矩阵的可接受精度。此外,我们发现,与相同复杂度的Balasubramanian-Bax / Franklin-Glynn算法相比,Ryser算法将随着问题规模的增加而产生不可接受的误差。精度问题建议仔细检查玻色子采样的未来研究,并对量子计算机和经典计算机进行全面比较。

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