论文标题
当前量子处理器的算法缓解算法误差方案
Algorithmic Error Mitigation Scheme for Current Quantum Processors
论文作者
论文摘要
我们提出了一种受经典兰开斯方法启发的短期量子处理器的硬件不可误误算法。该技术可以以唯一的成本增加在目标量子电路上执行的测量数量的唯一成本，而无需其他实验开销。我们通过对IBM量子硬件的数值模拟和实验来证明，提出的方案显着提高了变异量子算法框架内成本函数评估的准确性，从而改善了对量子化学和物理问题的量子状态计算的改进，而物理问题超出了正常的结果。
We present a hardware agnostic error mitigation algorithm for near term quantum processors inspired by the classical Lanczos method. This technique can reduce the impact of different sources of noise at the sole cost of an increase in the number of measurements to be performed on the target quantum circuit, without additional experimental overhead. We demonstrate through numerical simulations and experiments on IBM Quantum hardware that the proposed scheme significantly increases the accuracy of cost functions evaluations within the framework of variational quantum algorithms, thus leading to improved ground-state calculations for quantum chemistry and physics problems beyond state-of-the-art results.
