量子退火器中持续偏置的确定和校正
Determination and correction of persistent biases in quantum annealers
摘要：
量子计算技术的校准对于有效利用其量子资源至关重要。具体而言，量子退火器的性能可能会受到其可编程参数中的噪声的显著损害，有效地错误指定要解决的计算问题，通常导致虚假的次优解决方案。我们开发了一种策略来确定和纠正可编程参数的实际值与其用户指定值之间的持续性系统偏差。我们将重新校准策略应用于两台D-Wave 2量子退火机，一台位于加利福尼亚州莫菲特场的NASA艾姆斯研究中心，另一台位于加拿大伯纳比的D-Wave系统。我们表明，重新校准过程不仅降低了可编程参数的偏差的幅度，但也提高了一组随机基准实例上的设备的性能。
英文摘要：
Calibration of quantum computing technologies is essential to the effective utilization of their quantum resources. Specifically, the performance of quantum annealers is likely to be significantly impaired by noise in their programmable parameters, effectively misspecification of the computational problem to be solved, often resulting in spurious suboptimal solutions. We developed a strategy to determine and correct persistent, systematic biases between the actual values of the programmable parameters and their user-specified values. We applied the recalibration strategy to two D-Wave Two quantum annealers, one at NASA Ames Research Center in Moffett Field, California, and another at D-Wave Systems in Burnaby, Canada. We show that the recalibration procedure not only reduces the magnitudes of the biases in the programmable parameters but also enhances the performance of the device on a set of random benchmark instances.
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