Computational modeling of decay and hybridization in superconducting circuits

TL;DR

This paper introduces a comprehensive modeling framework for superconducting circuits that combines classical microwave analysis with quantum circuit quantization, enabling accurate calculation of lossy eigenmodes and mode hybridization effects.

Contribution

The authors develop a novel integrated modeling approach for superconducting circuits that accurately predicts relaxation times and mode hybridization, improving upon existing approximations.

Findings

Relaxation times match established approximation away from resonances.

Mode hybridization is highly sensitive to Purcell filter bandwidth.

The framework accurately predicts circuit behavior in relevant architectures.

Abstract

We present a framework for modeling superconducting circuits that integrates classical microwave analysis with circuit quantization. Our framework enables the calculation of the lossy eigenmodes of superconducting circuits, and we demonstrate the method by analyzing several circuits relevant to multiplexed, Purcell filtered transmon readout architectures. We show that the transmon relaxation times obtained by our method agree with the established approximation $T_1 \approx C/\text{Re}[Y(i\omega_q)]$ away from environmental resonances and do not vanish on resonance. We also show that the hybridization of the modes in the readout circuit is highly sensitive to the bandwidth of the Purcell filter.