Extending coherence while preserving relaxation times directly lifts the error‑budget for quantum processors, accelerating the path toward fault‑tolerant quantum computing.
Decoherence remains the chief obstacle to scaling superconducting quantum processors, with flux noise and dielectric loss eroding both relaxation (T₁) and dephasing (T_φ) times. Traditional dynamical sweet‑spot techniques rely on simple single‑ or two‑tone drives, offering modest protection against low‑frequency fluctuations but leaving higher‑order sensitivities untouched. The new framework expands the control landscape by allowing arbitrary periodic flux waveforms, turning the sweet‑spot search into a multi‑objective optimization problem that balances T₁ and T_φ simultaneously. This shift uncovers a Pareto front that quantifies the inevitable trade‑off between the two metrics, providing designers with a clear map of achievable performance limits.
By exploiting the enlarged waveform space, researchers identified double‑DSS operating bands that suppress both DC and AC flux noise, a rare combination that stabilizes qubit frequencies against the full spectrum of environmental disturbances. Numerical optimization shows dephasing times boosted three‑to‑fivefold compared with prior DSS methods, while energy‑relaxation times stay in the 100‑µs range, confirming that the approach does not sacrifice T₁ for T_φ. The practical payoff is evident in gate simulations: a single‑qubit X rotation reaches 99.9993% fidelity in just 10 ns, and a two‑qubit √iSWAP gate attains 99.995% fidelity within 28 ns, meeting and exceeding many near‑term quantum error‑correction thresholds.
The broader impact of this work extends beyond fluxonium devices. The Pareto‑front engineering technique is adaptable to other superconducting platforms, such as transmons, where similar decoherence mechanisms dominate. By delivering a systematic method to locate optimal dynamical sweet spots, the research equips hardware teams with a powerful tool to push coherence envelopes without extensive trial‑and‑error experimentation. As quantum architectures scale, the ability to maintain high‑fidelity operations with longer coherence windows will be pivotal for reducing overhead in error‑correcting codes and for realizing practical quantum advantage in computation and sensing applications.
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