analiza aiqbench
This research addresses a critical bottleneck in trapped-ion quantum computing by developing a predictive model for electric-field noise caused by material fluctuations. By isolating energy loss as the primary variable, the study provides a scalable framework to optimize trap geometries and reduce gate errors across arbitrary designs. This advancement directly supports the engineering of more stable and fault-tolerant quantum processors.
Predicting electric-field noise in ion traps using fluctuation electrodynamics
arXiv:2610.01693v1 Announce Type: new Abstract: Electric-field noise in microfabricated surface ion traps contributes to gate errors in trapped-ion quantum computers, but this noise has been challenging to predict. Here, we present a method to predict the electric-field noise arising from fluctuations in the bulk of dielectric and metallic materials. The method is valid for arbitrary trap geometries, and the only relevant material property is energy loss. We apply it to an ion trap with an electrically floating electrode and find the contribution from dielectrics to be dominant. Our model predicts the observed noise for this trap within a factor of four. In addition, we apply our model to typical surface trap designs and analyze how the electrode structures shield the noise.
Abstract:Electric-field noise in microfabricated surface ion traps contributes to gate errors in trapped-ion quantum computers, but this noise has been challenging to predict. Here, we present a method to predict the electric-field noise arising from fluctuations in the bulk of dielectric and metallic materials. The method is valid for arbitrary trap geometries, and the only relevant material property is energy loss. We apply it to an ion trap with an electrically floating electrode and find the contribution from dielectrics to be dominant. Our model predicts the observed noise for this trap within a factor of four. In addition, we apply our model to typical surface trap designs and analyze how the electrode structures shield the noise.
arXiv:2610.01693 [quant-ph]
(or arXiv:2610.01693v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.01693 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Text integral sub licența deschisă a publicației · 207 cuvinte
Subiecte conexe

Researchers Predict Ion-Trap Electrical Noise with New Fluctuation Model
Quantum Zeitgeist · 2 oct. 2026

Quantum Battery Designers Cannot Have Both High Power and Stable Output, Physics Proves
techtimes.com · 29 sept. 2026

New method maps complex circuit noise into quantum Hamiltonian models
Quantum Zeitgeist · 28 aug. 2026

Podcast with Johannes Pollanen, Co-founder of EeroQ and a Professor of Physics at Michigan State University
Quantum Computing Report · 17 oct. 2026