基于Python的超导量子干涉器件仿真优化方法

Python-based Simulation Optimization Method for Superconducting Quantum Interference Devices

超导量子干涉器件的优化研究旨在提升其在微弱磁通变化探测中的性能;研究中建立了基于Python的仿真框架,使用SuperScreen、Numpy和Matplotlib库进行器件仿真及性能优化;该框架支持多种SQUID形状的模拟,包括设计了一个算法来模拟多边形;仿真分析了在非均匀外部磁场下SQUID超导薄膜的磁响应,计算了薄膜内外的矢量磁场;此外,通过网格化技术将连续空间转化为计算模型,为解算物理方程提供了可能;仿真结果表明,优化的SQUID能满足高精度磁场探测的需求,为超导器件的设计提供了理论和技术支持。

The optimization study of superconducting quantum interference devices aims to enhance their performances in detecting minute magnetic flux changes.A Python-based simulation framework is built,the SuperScreen,Numpy,and Matplotlib libraries are used to simulate the devices and optimize their performance.This framework supports the simulation of various superconducting quantum interference devices(SQUID)shapes,including an algorithm to simulate polygon modeling.The magnetic response of SQUID superconducting films under non-uniform external magnetic fields is analyzed by the simulation,and the vector magnetic fields inside and outside the films are calculated.Additionally,the continuous physical space is transformed into the computational model through meshing techniques,it perhaps provides the solution of physical equations.Simulation results show that the optimized SQUID meets the requirements for high-precision magnetic field detection,providing a theoretical and technical support for the design of superconducting devices.