Building a Predictive Tool-Chain for Superconducting Qubits

In this presentation we present a superconducting qubit modeling tool chain which of the energy levels (spectrum) of a particular circuit based on the knowledge of fabrication technology and the layout of the circuit. The combination of this information allows software to produce a virtually fabricated circuit. Importantly, the tool is not meant to fit data to provide retrospective information about various parameters – the key is to take existing experimental fabrication parameters, such as critical current, and predict the energy spectrum of circuits and resonators that have not been tested yet. In this talk, we show that we were able to create a toolkit that predicted the cavity frequencies, the charging energies, and the coupling to within 20% accuracy. We discuss limiting factors in the computational electromagnetic models and experimental understanding of critical parameters that limits the accuracy of our predictive tool.