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May 7, 2026Communications Physics0 citationsOpen Access

Nondestructive readout of cat-state qubits via longitudinal qubit-oscillator interaction

SXShao-Wei XuJYJiang-Ting YeHCHao-Ran Chen

Key Points

  • To propose a high-fidelity nondestructive readout protocol for cat-state qubits.
  • Developed a longitudinal interaction protocol for QND measurements in a Kerr-nonlinear resonator.
  • Derived analytical expressions and conducted numerical simulations to assess performance.
  • Analyzed the impact of injecting squeezed input states on signal-to-noise ratio (SNR).
  • Longitudinal readout achieved faster SNR growth and shorter measurement times compared to conventional methods.
  • Injected squeezed states exponentially enhanced SNR.
  • Time-dependent coupling significantly reduced measurement time.

Abstract

Realizing fault-tolerant quantum computing relies on efficient quantum error correction. Bosonic cat-state qubits offer a highly promising, hardware-efficient approach by intrinsically suppressing bit-flip errors. However, fully unlocking their potential demands fast and high-fidelity quantum nondemolition (QND) measurements. Here, we propose a high-fidelity QND readout protocol for cat-state qubits in a Kerr-nonlinear resonator utilizing an effective longitudinal interaction. By deriving analytical expressions and performing numerical simulations, we demonstrate that longitudinal readout achieves faster signal-to-noise ratio (SNR) growth and shorter measurement times than conventional dispersive readout. Furthermore, we show that injecting squeezed input states can exponentially enhance the SNR, while time-dependent coupling further reduces the measurement time. This scheme provides a robust pathway toward rapid and nondestructive measurement of cat qubits in near-term quantum processors. Reliable quantum computers require error-resistant components like cat-state qubits, along with fast, non-destructive ways to readout them. Here, the authors propose a longitudinal readout protocol for these qubits that achieves faster and higher-fidelity measurements than conventional methods.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69fc2ba98b49bacb8b347a4ehttps://doi.org/10.1038/s42005-026-02657-w
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