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    Multimode Purcell filter for superconducting-qubit reset and readout with intrinsic Purcell protection

    Xu-Yang Gu1,2,*, Da’er Feng1,2,*, Zhen-Yu Peng1,2, Gui-Han Liang1,2, Yang He1,2, Yongxi Xiao1,2, Ming-Chuan Wang1,2, Yu Yan1,3, Bing-Jie Chen1,2 et al.

    Zheng-Yang Mei1,2, Yi-Zhou Bu1,2, Jia-Chi Zhang1,2, Jia-Cheng Song1,2, Cheng-Lin Deng1,2, Yun-Hao Shi1, Xiaohui Song1, Dongning Zheng1,2,4,5, Kai Xu1,2,6,4,5,†, Zhongcheng Xiang1,2,4,‡, and Heng Fan1,2,6,4,5,§

    • *These authors contributed equally to this work.
    • †Contact author: kaixu@iphy.ac.cn
    • ‡Contact author: zcxiang@iphy.ac.cn
    • §Contact author: hfan@iphy.ac.cn

    Phys. Rev. Applied 25, 044003 – Published 1 April, 2026

    DOI: https://doi.org/10.1103/k398-k98j

    Abstract

    Efficient qubit reset and leakage reduction are essential for scalable superconducting quantum computing, particularly in the context of quantum error correction. However, such operations often require additional on-chip components. Here, we propose and experimentally demonstrate a hardware-efficient approach to qubit reset and readout using a multimode Purcell filter in a superconducting quantum circuit. We exploit the inherent multimode structure of a coplanar waveguide resonator, using its fundamental and second-order modes for qubit reset and readout, respectively, thereby avoiding additional components. Implemented in a flip-chip architecture, our device achieves unconditional reset with residual excitation below 1% in 220 ns, and a leakage-reduction unit that selectively resets the second excited state within 62 ns, with a residual |f⟩ population of 6.1%, after accounting for the readout error. Despite the qubits being directly coupled to the filter in our configuration, the measured relaxation times are not degraded, owing to intrinsic Purcell protection provided by an auxiliary mode. To our knowledge, this work constitutes the first experimental demonstration exploiting different-order modes of a microwave resonator for distinct qubit operations, representing a new direction toward scalable, hardware-efficient quantum processor design.

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