Superconducting circuits have emerged as a promising platform to build quantum processors. The challenge of designing a circuit is to compromise between realizing a set of performance metrics and reducing circuit complexity and noise sensitivity. At the same time, one needs to explore a large design space, and computational approaches often yield long simulation times. Here, we automate the circuit design task using SCILLA. The software SCILLA performs a parallelized, closed-loop optimization to design superconducting circuit diagrams that match predefined properties, such as spectral features and noise sensitivities. We employ it to design 4-local couplers for superconducting flux qubits and identify a circuit that outperforms an existing proposal with a similar circuit structure in terms of coupling strength and noise resilience for experimentally accessible parameters. This work demonstrates how automated design can facilitate the development of complex circuit architectures for quantum information processing.

超导电路已经成为构建量子处理器的有前途的平台。设计电路的挑战是在实现一组性能指标与降低电路复杂性和噪声灵敏度之间做出折衷。同时，人们需要探索一个很大的设计空间，而计算方法往往会产生较长的仿真时间。在这里，我们使用SCILLA自动执行电路设计任务。软件SCILLA执行并行的闭环优化，以设计与预定义属性（例如频谱特征和噪声敏感度）匹配的超导电路图。我们使用它来设计用于超导通量量子位的4本地耦合器，并确定在实验可访问参数的耦合强度和噪声弹性方面，其性能优于具有类似电路结构的现有建议的电路。这项工作演示了自动化设计如何能够促进用于量子信息处理的复杂电路体系结构的开发。