McArdle Sam, Yuan Xiao, Benjamin Simon
Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, United Kingdom.
Phys Rev Lett. 2019 May 10;122(18):180501. doi: 10.1103/PhysRevLett.122.180501.
Variational algorithms may enable classically intractable simulations on near-future quantum computers. However, their potential is limited by hardware errors. It is therefore crucial to develop efficient ways to mitigate these errors. Here, we propose a stabilizerlike method which enables the detection of up to 60%-80% of depolarizing errors. Our method is suitable for near-term quantum hardware. Simulations show that our method can significantly benefit calculations subject to both stochastic and correlated noise, especially when combined with existing error mitigation techniques.
变分算法可能使在近期量子计算机上进行经典难以处理的模拟成为可能。然而，它们的潜力受到硬件错误的限制。因此，开发减轻这些错误的有效方法至关重要。在这里，我们提出了一种类似稳定器的方法，该方法能够检测高达60%-80%的去极化错误。我们的方法适用于近期量子硬件。模拟表明，我们的方法可以显著有益于受随机噪声和相关噪声影响的计算，特别是与现有的错误减轻技术相结合时。
