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This study reveals that in Rydberg-atom quantum annealing, spontaneous decay is approximately eight times more detrimental than dephasing, challenging the industry standard of treating both noise sources as a single scalar. By decoupling these error channels and optimizing the drive ramp-down fraction, researchers can recover roughly one-third of performance loss without requiring hardware upgrades. This finding provides a critical protocol-level strategy for improving optimization heuristics on current noisy quantum devices.
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Decay versus dephasing in Rydberg analog optimization: exchange rate, mechanism, and schedule design

arXiv3 min read

arXiv:2608.29858v1 Announce Type: new Abstract: Numerical studies of noisy Rydberg-atom optimization almost universally compress decoherence into a single scalar, silently pricing spontaneous decay ($\Gamma$) and dephasing ($\gamma$) alike. We treat the two as independent axes, mapping a quantum-annealing heuristic for unit-disk maximum independent set on 20 random $N=10$ graphs across the $(\Gamma,\gamma)$ plane, with the annealing time re-optimized at every point. The mean approximation ratio does collapse onto one scalar, but onto $u=\kappa\Gamma+\gamma$ with $\kappa=8.05\pm0.5$ (stat) $\pm1.1$ (syst); the isotropic $\Gamma+\gamma$ fails by a factor of 30 in residual. First-order perturbation theory reproduces $\kappa$ from noiseless propagation alone and gives the mechanism: the objective is diagonal in the basis of the dephasing operator, so dephasing cannot change the answer once the drive is off, and a single driven atom already has $\kappa\simeq8.5$. The exchange rate is thus a property of the protocol as much as of the platform: the ramp-down fraction moves it between 2.3 and 16.3. At a fixed schedule it is stable across system sizes, interaction strengths, and estimators. Because the whole cost model is noiseless, a schedule can be tuned to a device's channel mixture without any noisy simulation: jointly tuning the drive ramp-down and the sweep's detuning ramp recovers about a third of the Markovian damage at no hardware cost, and the ramp the noise-aware objective selects is not the one noiseless optimization would choose. Per unit rate decay is eightfold the dearer channel, but the measured $T_1$ enters weighted by its branching ratio to the ground state ($b\approx0.4$ for the calibrated device), which leaves the two Lindblad channels comparably costly at a present-day operating point. One-parameter noise models remain serviceable, provided the parameter is $u$.

Abstract:Numerical studies of noisy Rydberg-atom optimization almost universally compress decoherence into a single scalar, silently pricing spontaneous decay ($\Gamma$) and dephasing ($\gamma$) alike. We treat the two as independent axes, mapping a quantum-annealing heuristic for unit-disk maximum independent set on 20 random $N=10$ graphs across the $(\Gamma,\gamma)$ plane, with the annealing time re-optimized at every point. The mean approximation ratio does collapse onto one scalar, but onto $u=\kappa\Gamma+\gamma$ with $\kappa=8.05\pm0.5$ (stat) $\pm1.1$ (syst); the isotropic $\Gamma+\gamma$ fails by a factor of 30 in residual. First-order perturbation theory reproduces $\kappa$ from noiseless propagation alone and gives the mechanism: the objective is diagonal in the basis of the dephasing operator, so dephasing cannot change the answer once the drive is off, and a single driven atom already has $\kappa\simeq8.5$. The exchange rate is thus a property of the protocol as much as of the platform: the ramp-down fraction moves it between 2.3 and 16.3. At a fixed schedule it is stable across system sizes, interaction strengths, and estimators. Because the whole cost model is noiseless, a schedule can be tuned to a device's channel mixture without any noisy simulation: jointly tuning the drive ramp-down and the sweep's detuning ramp recovers about a third of the Markovian damage at no hardware cost, and the ramp the noise-aware objective selects is not the one noiseless optimization would choose. Per unit rate decay is eightfold the dearer channel, but the measured $T_1$ enters weighted by its branching ratio to the ground state ($b\approx0.4$ for the calibrated device), which leaves the two Lindblad channels comparably costly at a present-day operating point. One-parameter noise models remain serviceable, provided the parameter is $u$.

21 pages, 8 figures, 3 tables. Code and data: this https URL

Quantum Physics (quant-ph); Atomic Physics (physics.atom-ph)

arXiv:2608.29858 [quant-ph]

(or arXiv:2608.29858v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.29858 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 384 words

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