论文标题
由于系统可变性而抑制量子电路错误
Suppressing quantum circuit errors due to system variability
论文作者
论文摘要
我们提出了一种量子电路优化技术，该技术考虑了当今噪声量子计算平台固有的错误率的可变性。该方法可以在Qubit路由后或兼容后运行，并包括计算输入电路的同构子图，并使用从系统校准数据得出的启发式成本函数对每个计数进行评分。使用独立的标准算法测试套件，我们表明，可以通过有效地使用更好的量子选择来计算成本功能，平均可以恢复近40％的缺失忠诚度。我们通过考虑多个量子处理器上的量子位置来证明额外的性能增长。这些工具的开销相对于其他汇编步骤（例如量子位路由）而言，随着量子数的数量的增加，这些工具的开销很小。因此，我们的方法可用于在量子优势及以后的规模上找到量子映射。
We present a quantum circuit optimization technique that takes into account the variability in error rates that is inherent across present day noisy quantum computing platforms. This method can be run post qubit routing or post-compilation, and consists of computing isomorphic subgraphs to input circuits and scoring each using heuristic cost functions derived from system calibration data. Using an independent standard algorithmic test suite we show that it is possible to recover on average nearly 40% of missing fidelity using better qubit selection via efficient to compute cost functions. We demonstrate additional performance gains by considering qubit placement over multiple quantum processors. The overhead from these tools is minimal with respect to other compilation steps, such as qubit routing, as the number of qubits increases. As such, our method can be used to find qubit mappings for problems at the scale of quantum advantage and beyond.
