Spectroscopy of drive-induced unwanted state transitions in superconducting circuits

• URL: http://arxiv.org/abs/2506.24070v2
• Date: Sat, 02 Aug 2025 19:36:41 GMT
• Title: Spectroscopy of drive-induced unwanted state transitions in superconducting circuits
• Authors: W. Dai, S. Hazra, D. K. Weiss, P. D. Kurilovich, T. Connolly, H. K. Babla, S. Singh, V. R. Joshi, A. Z. Ding, P. D. Parakh, J. Venkatraman, X. Xiao, L. Frunzio, M. H. Devoret,
• Abstract summary: Microwave drives are essential for implementing control and readout operations in superconducting quantum circuits.<n>We investigate unwanted state transitions in a fixed-frequency qubit subjected to microwave drives spanning a 9 GHz frequency range.<n>Our results provide a comprehensive classification of these transitions and offer mitigation strategies through informed choices of drive frequency as well as improved circuit design.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Microwave drives are essential for implementing control and readout operations in superconducting quantum circuits. However, increasing the drive strength eventually leads to unwanted state transitions which limit the speed and fidelity of such operations. In this work, we systematically investigate such transitions in a fixed-frequency qubit subjected to microwave drives spanning a 9 GHz frequency range. We identify the physical origins of these transitions and classify them into three categories. (1) Resonant energy exchange with parasitic two-level systems, activated by drive-induced ac-Stark shifts, (2) multi-photon transitions to non-computational states, intrinsic to the circuit Hamiltonian, and (3) inelastic scattering processes in which the drive causes a state transition in the superconducting circuit, while transferring excess energy to a spurious electromagnetic mode or two-level system (TLS) material defect. We show that the Floquet steady-state simulation, complemented by an electromagnetic simulation of the physical device, accurately predicts the observed transitions that do not involve TLS. Our results provide a comprehensive classification of these transitions and offer mitigation strategies through informed choices of drive frequency as well as improved circuit design.

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