A Benchmark Test of Boson Sampling on Tianhe-2 Supercomputer
June 19, 2016 Β· Declared Dead Β· π National Science Review
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Authors
Junjie Wu, Yong Liu, Baida Zhang, Xianmin Jin, Yang Wang, Huiquan Wang, Xuejun Yang
arXiv ID
1606.05836
Category
quant-ph: Quantum Computing
Cross-listed
cs.DC
Citations
55
Venue
National Science Review
Last Checked
5 months ago
Abstract
Boson sampling, thought to be intractable classically, can be solved by a quantum machine composed of merely generation, linear evolution and detection of single photons. Such an analog quantum computer for this specific problem provides a shortcut to boost the absolute computing power of quantum computers to beat classical ones. However, the capacity bound of classical computers for simulating boson sampling has not yet been identified. Here we simulate boson sampling on the Tianhe-2 supercomputer which occupied the first place in the world ranking six times from 2013 to 2016. We computed the permanent of the largest matrix using up to 312,000 CPU cores of Tianhe-2, and inferred from the current most efficient permanent-computing algorithms that an upper bound on the performance of Tianhe-2 is one 50-photon sample per ~100 min. In addition, we found a precision issue with one of two permanent-computing algorithms.
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