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arXiv 2008.11294quant-ph
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测量量子计算机的能力

Measuring the Capabilities of Quantum Computers

Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, Robin Blume-Kohout

摘要:

量子计算机现在已经解决了一个被认为是超级计算机难以解决的专门问题,这表明量子处理器可能很快就会在科学上重要的问题上超越超级计算机。但是每个量子处理器中的缺陷都会导致量子程序中的错误,从而限制了它的能力,目前很难预测特定处理器可以成功运行哪些程序。我们介绍了可以有效测试任何可编程量子计算机能力的技术,并将其应用于12个处理器。我们的实验表明,目前的硬件遭受复杂的错误,导致结构化的程序失败的数量级早-衡量程序大小-比无序的。因此,从随机无序程序行为推断的标准错误度量不能准确地预测有用程序的性能。我们的方法提供了高效,可靠和可扩展的基准,可以有针对性地预测量子计算机在现实世界问题上的性能。

英文摘要:

A quantum computer has now solved a specialized problem believed to be intractable for supercomputers, suggesting that quantum processors may soon outperform supercomputers on scientifically important problems. But flaws in each quantum processor limit its capability by causing errors in quantum programs, and it is currently difficult to predict what programs a particular processor can successfully run. We introduce techniques that can efficiently test the capabilities of any programmable quantum computer, and we apply them to twelve processors. Our experiments show that current hardware suffers complex errors that cause structured programs to fail up to an order of magnitude earlier - as measured by program size - than disordered ones. As a result, standard error metrics inferred from random disordered program behavior do not accurately predict performance of useful programs. Our methods provide efficient, reliable, and scalable benchmarks that can be targeted to predict quantum computer performance on real-world problems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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