From Hamiltonian to gds file and back again with modular superconducting circuit designs

Artificial atoms formed from superconducting circuits are an incredibly flexible quantum technology. While every real atom of a given type is identical, a superconducting circuit's spectrum, couplings, and coherence can be varied continuously through a huge range by changing the circuit design. This leads to its own challenge, the design problem: given a target set of properties, what is the physical device layout that will best hit this target? To help solve this problem we have built SQuADDS, an open-source design and simulation tool for superconducting circuits. SQuADDS relies on a database of small components which can be put together to combinatorially build a huge set of pre-simulated device designs. I will describe the physics behind this modular approach and will discuss our efforts to make it fully general. I will also discuss the use of SQuADDS for training machine learning models, for sharing experimental methods, and as an educational tool.