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Related Experiment Video

Updated: Mar 14, 2026

Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps

Experimental Methods for Trapping Ions Using Microfabricated Surface Ion Traps

Published on: August 17, 2017

Scalable loading of a two-dimensional trapped-ion array.

Colin D Bruzewicz¹, Robert McConnell¹, John Chiaverini¹

¹Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood Street, Lexington, Massachusetts 02420, USA.

Nature Communications

|September 29, 2016

Summary

This summary is machine-generated.

Researchers demonstrate a fast ion loading technique for scalable quantum computing. This method uses a continuous atom flux, enabling rapid reloading of two-dimensional ion traps without compromising qubit coherence.

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Area of Science:

Quantum Information Science
Atomic, Molecular, and Optical Physics

Background:

Two-dimensional arrays of trapped-ion qubits are promising for scalable quantum information processing.
Rapid ion reloading is a critical challenge for sustaining large-scale trapped-ion systems.

Purpose of the Study:

To develop and demonstrate a fast ion loading technique for two-dimensional trapped-ion arrays.
To address the challenge of rapid reloading for scalable quantum information processing.

Main Methods:

Utilized a continuous flux of pre-cooled neutral atoms from a remote source.
Achieved single-ion loading per site in a two-dimensional array.
Maintained long ion trap lifetimes and coherence of adjacent qubits.

Main Results:

Demonstrated fast loading of single ions per site.
Sustained long ion trap lifetimes.
Preserved quantum bit coherence in adjacent sites.
Showcased a method scalable to extensive two-dimensional arrays.

Conclusions:

The demonstrated technique satisfies key criteria for loading and reloading large-scale two-dimensional ion arrays.
Loading rates can be further increased by parallel ion loading with increased laser power, without additional atomic flux.
This advancement is crucial for the development of scalable quantum information processors.