Effects of electrode surface roughness on motional heating of trapped ions
Kuan-Yu Lin, Guang Hao Low, and Issac L. Chuang

TL;DR
This paper investigates how surface roughness of trap electrodes affects electric field noise and motional heating in trapped ion quantum computers, revealing that surface curvature can significantly alter heating rates.
Contribution
It introduces a theoretical framework for analyzing the impact of electrode surface roughness on electric field noise and motional heating, which was previously not well understood.
Findings
Surface roughness can exponentially influence adsorbate-induced heating rates.
Engineering electrode surface profiles can tune heating rates over orders of magnitude.
Surface curvature effects are significant at cryogenic temperatures.
Abstract
Electric field noise is a major source of motional heating in trapped ion quantum computation. While the influence of trap electrode geometries on electric field noise has been studied in patch potential and surface adsorbate models, only smooth surfaces are accounted for by current theory. The effects of roughness, a ubiquitous feature of surface electrodes, are poorly understood. We investigate its impact on electric field noise by deriving a rough-surface Green's function and evaluating its effects on adsorbate-surface binding energies. At cryogenic temperatures, heating rate contributions from adsorbates are predicted to exhibit an exponential sensitivity to local surface curvature, leading to either a large net enhancement or suppression over smooth surfaces. For typical experimental parameters, orders-of-magnitude variations in total heating rates can occur depending on the…
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Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Quantum Information and Cryptography · Statistical Mechanics and Entropy
