English

Mitigation of Measurement-Induced State Transitions via a Fast-Load and Fast-Clear Readout

Quantum Physics 2026-07-26 v1

Abstract

High-fidelity and rapid qubit readout is essential for superconducting quantum processors, typically realized through the quantum non-demolition (QND) dispersive interaction within a qubit-resonator architecture. However, the achievable readout speed and fidelity are fundamentally limited by measurement-induced state transitions (MIST). For a transmon qubit, MIST is highly sensitive to the offset charge ngn_g due to the charge dispersion of its higher-lying energy levels. In this work, we systematically investigate ngn_g-dependent MIST dynamics governed by the diabaticity and symmetry of pulse shaping within a charge-sensitive transmon architecture. We engineer fast-load and fast-clear pulses that effectively suppress resonator photon overshoots, thereby demonstrating a highly practical strategy to mitigate MIST without requiring complex waveforms or real-time feedback. Utilizing active gate-voltage control and rapid feedback, the measurement-induced transition probability is precisely mapped against ngn_g and the steady-state resonator photon number, exhibiting strong agreement with numerical Floquet branch analysis. Ultimately, we evaluate the ngn_g-averaged total error probabilities for both readout and post-readout stages, verifying that a straightforward three-step pulse scheme consistently minimizes overall readout errors. Within the framework of large-scale superconducting quantum processors, this practical, hardware-free approach inherently offers a better trade-off between the readout signal-to-noise ratio and QND preservation.

Keywords

Cite

@article{arxiv.2607.23681,
  title  = {Mitigation of Measurement-Induced State Transitions via a Fast-Load and Fast-Clear Readout},
  author = {Wei-En Lin and Li-Chieh Hsiao and Chen-Hsun Ma and Erh-Hsiang Yeh and Wei-Lun Peng and Hsi-Sheng Goan and Cen-Shawn Wu and Yueh-Nan Chen and Yung-Fu Chen and Chung-Ting Ke and Chii-Dong Chen},
  journal= {arXiv preprint arXiv:2607.23681},
  year   = {2026}
}