- Open Access
Dispersive Qubit Readout with Intrinsic Resonator Reset
PRX Quantum 7, 033042 – Published 31 August, 2026
DOI: https://doi.org/10.1103/z5x1-2mr9
Abstract
Measurement and readout speed impose limits for logical qubit and qudit performance in quantum computing. Here, we experimentally demonstrate a universal analytical method for designing bandwidth-efficient dispersive readout pulses that intrinsically reset the resonator and extend it to multiple quantum states. The approach is based on universal analytical pulses and requires knowledge of the qubit and resonator parameters, but needs no direct optimization of the pulse shape, even when accounting for the nonlinearity of the system. When correcting for the Kerr nonlinearity, we find even more precise solutions to the speed-versus-photon-number trade-off, achieving photon readout with reset to within duration and amplifier efficiency- and -limited assignment error around 0.6%. Results on qubits and qutrits validate the approach.
Physics Subject Headings (PhySH)
Popular Summary
Reading out a state of a quantum bit (qubit) is one of the slowest steps in superconducting quantum computing. After a measurement, the microwave resonator continues to ring and remains populated with photons. These residual photons disturb the qubit, forcing the processor to pause before the next operation. In repeated rounds of quantum error correction, such delays become a serious bottleneck. We introduce DRACHMA, an analytical method for designing readout pulses that both distinguish the qubit state with high fidelity and empty the resonator by the end of the measurement. The pulse shapes follow directly from the nonlinear dynamics of the coupled qubit-resonator system and require neither numerical optimization nor additional hardware. DRACHMA achieves 99.4% readout fidelity while reducing the residual photon population by more than a factor of one thousand, effectively removing post-measurement delay. The method also extends to multilevel quantum systems, offering a practical route toward faster, more scalable superconducting quantum processors.
Article Text
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