Complete methods set for scalable ion trap quantum information processing

TL;DR

This paper demonstrates the fundamental components for scalable ion trap quantum computing, including qubit transport, robust storage, and multi-qubit operations, with high repeatability over macroscopic distances.

Contribution

It introduces a comprehensive set of methods combining ion transport, robust qubit storage, and simultaneous trapping, advancing scalable quantum information processing with trapped ions.

Findings

No performance loss during qubit transport over macroscopic distances

Use of different hyperfine states for robust qubit operations

Successful simultaneous trapping of magnesium and beryllium ions

Abstract

Large-scale quantum information processors must be able to transport and maintain quantum information, and repeatedly perform logical operations. Here we demonstrate a combination of all the fundamental elements required to perform scalable quantum computing using qubits stored in the internal states of trapped atomic ions. We quantify the repeatability of a multi-qubit operation, observing no loss of performance despite qubit transport over macroscopic distances. Key to these results is the use of different pairs of beryllium ion hyperfine states for robust qubit storage, readout and gates, and simultaneous trapping of magnesium re-cooling ions along with the qubit ions.