论文标题
通过随机编译和零噪声外推的协同量子误差缓解变异量子eigensolver
Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
论文作者
论文摘要
我们提出了一种量子量子量化算法（VQE）算法的量子误差策略。通过数值模拟，我们发现，VQE中的很少的相干噪声可能会导致很大的错误，而常规缓解方法很难抑制，但是我们提出的缓解策略能够显着减少这些错误。提出的策略是先前报道的技术，即随机编译（RC）和零噪声外推（ZNE）的组合。直观地，随机编译将电路中的相干误差变成随机的保利错误，在评估成本函数时，促进了外推到零噪声限制。我们对小分子的VQE的数值模拟表明，所提出的策略可以减轻由多种相干噪声引起的能量误差，最多可以减少两个数量级。
We propose a quantum error mitigation strategy for the variational quantum eigensolver (VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent noise in VQE can cause substantially large errors that are difficult to suppress by conventional mitigation methods, and yet our proposed mitigation strategy is able to significantly reduce these errors. The proposed strategy is a combination of previously reported techniques, namely randomized compiling (RC) and zero-noise extrapolation (ZNE). Intuitively, randomized compiling turns coherent errors in the circuit into stochastic Pauli errors, which facilitates extrapolation to the zero-noise limit when evaluating the cost function. Our numerical simulation of VQE for small molecules shows that the proposed strategy can mitigate energy errors induced by various types of coherent noise by up to two orders of magnitude.
