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Systematic Construction of Time-Dependent Hamiltonians for Microwave-Driven Josephson Circuits

Yao Lu1,2,3,*, Tianpu Zhao4, André Vallières3,4, Kevin C. Smith1,2,5, Daniel Weiss1,2, Xinyuan You3, Yaxing Zhang1,2, Suhas Ganjam1,2, Aniket Maiti1,2 et al.

John W. O. Garmon1,2, Shantanu Mundhada6, Ziwen Huang3, Ian Mondragon-Shem7, Steven M. Girvin1,2, Jens Koch7,8, and Robert J. Schoelkopf1,2,6,†

  • *Contact author: yaolu@fnal.gov
  • †Contact author: robert.schoelkopf@yale.edu

PRX Quantum 7, 033039 – Published 27 August, 2026

DOI: https://doi.org/10.1103/4kfd-kqdg

Abstract

Time-dependent electromagnetic drives are fundamental for controlling complex quantum systems, including superconducting Josephson circuits. In these devices, accurate time-dependent Hamiltonian models are imperative for predicting their dynamics and designing high-fidelity quantum operations. Existing numerical methods, such as black-box quantization (BBQ) and energy-participation ratio (EPR), excel at modeling the static Hamiltonians of Josephson circuits. However, these techniques do not fully capture the behavior of driven circuits stimulated by external microwave drives, nor do they include a generalized approach to account for the inevitable noise and dissipation that enter through microwave ports. Here, we introduce numerical techniques that leverage classical microwave simulations, efficiently executable in finite-element solvers, to obtain the time-dependent Hamiltonian of microwave-driven superconducting circuits with arbitrary geometries under charge, flux, or mixed electromagnetic modulation. Importantly, our techniques do not rely on a lumped-element description of the superconducting circuit, in contrast to previous approaches to tackling this problem. We demonstrate the versatility of our approach by characterizing the driven properties of realistic circuit devices in complex electromagnetic environments, including coherent dynamics due to charge and flux modulation, as well as drive-induced relaxation and dephasing. Our techniques offer a powerful toolbox for optimizing circuit designs and advancing practical applications in superconducting quantum computing.

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