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Researchers have developed a comprehensive model to predict electric-field noise in trapped-ion quantum computers by accounting for fluctuations in both metallic and dielectric materials. This advancement improves upon previous simplified analyses, offering a pathway to design quieter traps and enhance the fidelity of future quantum processors regardless of device geometry.
Researchers Predict Ion-Trap Electrical Noise with New Fluctuation Model
Predicting electric-field noise in complex ion traps has long relied on simplified models or analyses focused solely on dielectrics. Now, a new approach accurately forecasts observed noise levels, within a factor of four, by accounting for fluctuations in both metallic and dielectric materials regardless of device geometry. This offers a pathway towards designing quieter traps and more dependable quantum computers.
A new method predicts electric-field noise within microfabricated surface ion traps, addressing a key challenge limiting fidelity in trapped-ion quantum computers. Valid for any trap geometry, the approach calculates noise stemming from fluctuations in both metallic electrodes and dielectric materials by linking it directly to energy loss within those components. Applying this technique to an example trap with an electrically floating electrode revealed that dielectrics contribute more sharply to overall…
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