论文标题
动态脱钩和脉冲级优化对IBM量子计算机的影响
Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM Quantum Computers
论文作者
论文摘要
当前可用的量子计算机容易出错。在NISQ硬件执行时，需要采用电路优化和误差缓解方法来设计量子电路以实现更好的保真度。动态脱钩（DD）通常用于抑制变形误差，并提出了不同的DD策略。此外，可以通过脉冲级优化来提高电路保真度，例如创建硬件本地脉冲有效的门。本文实现了所有流行的DD序列，并评估其在具有不同特征的各种众所周知量子应用的IBM量子芯片上的性能。此外，我们研究将DD与脉冲级优化方法相结合，并将其应用于QAOA以解决最大切割问题。根据实验结果，我们发现DD仅对某些类型的量子算法是一个好处，而DD和脉冲级优化方法的组合始终具有积极的影响。最后，我们为用户提供了几种指南，以学习如何使用这些降低噪声方法来构建在IBM量子计算机上具有高忠诚度的量子应用的电路。
Currently available quantum computers are prone to errors. Circuit optimization and error mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error and different DD strategies have been proposed. Moreover, the circuit fidelity can be improved by pulse-level optimization, such as creating hardware-native pulse-efficient gates. This paper implements all the popular DD sequences and evaluates their performances on IBM quantum chips with different characteristics for various well-known quantum applications. Also, we investigate combining DD with pulse-level optimization method and apply them to QAOA to solve Max-Cut problem. Based on the experimental results, we found that DD can be a benefit for only certain types of quantum algorithms, while the combination of DD and pulse-level optimization methods always has a positive impact. Finally, we provide several guidelines for users to learn how to use these noise mitigation methods to build circuits for quantum applications with high fidelity on IBM quantum computers.
