Network Analysis Methods for Modular Simulation

The design and optimization of superconducting qubit devices require accurate electromagnetic simulations to capture complex interactions among device components. However, full 3D finite element method (FEM) simulations of complete chip layouts are computationally expensive and impractical for iterative design workflows. In this talk, we present network analysis methods that enable efficient, modular simulation of superconducting qubit devices. By partitioning device architectures into physically meaningful substructures, we can stitch together their electromagnetic responses at well-defined boundaries using microwave network parameters. This modular approach allows for simulating local features with high fidelity while capturing global device interactions via network theory. We highlight the power of model reduction enabled by network-based decomposition through a few examples of multiplexed readout systems. Our results show that these methods offer a viable alternative to brute-force 3D FEM, facilitating accelerated design cycles for next-generation superconducting quantum devices.