A software protocol measures and corrects trigger-synchronous coherent errors in trapped-ion qubits and qudits by updating control frequency and phase, raising single-qubit gate fidelity to 99.93(1)% and 16-level qudit algorithm success from 10(7)% to 70(9)%.
Characterization and cancellation of power-line-induced motional-mode frequency noise in a trapped-ion system
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abstract
The stability of motional-mode frequency is essential for realizing high-fidelity quantum gates in trapped-ion quantum computing. While broadband Gaussian noise has been extensively studied and mitigated using pulse shaping techniques, the impact of coherent periodic noise has remained largely unexplored. Here we report a systematic investigation of 60-Hz power-line noise and its effect on the secular frequencies of a single ${}^{171}\mathrm{Yb}^{+}$ ion. Using spin-echo Ramsey spectroscopy, we characterize the amplitude and phase of the resulting secular-frequency modulation and validate this characterization via passive phase correction of the Ramsey sequence. Building on this, we implement a cancellation scheme by injecting a compensation tone into the set-point of a PI controller that stabilizes the trap RF drive amplitude. A phasor-fitting procedure optimizes the amplitude and phase of the compensation signal, enabling near-complete suppression of the 60-Hz component. With the cancellation applied, the coherence time of a radial motional mode is extended from approximately 10 ms to 35 ms, consistent with the limit set by motional heating. Our results provide both a clear characterization of periodic motional-mode noise and a practical framework for its suppression in trapped-ion quantum computing platforms.
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quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Software compensation of trigger-synchronous control-frame errors in qubits and qudits
A software protocol measures and corrects trigger-synchronous coherent errors in trapped-ion qubits and qudits by updating control frequency and phase, raising single-qubit gate fidelity to 99.93(1)% and 16-level qudit algorithm success from 10(7)% to 70(9)%.