Single-qubit-gate error below 10 -4 in a trapped ion

By K. Brown, A. C. Wilson, Y. Colombe, C. Ospelkaus, A. M. Meier, Emanuel Knill, Dietrich Leibfried, David J. Wineland. 2011

193 citations recorded by the source corpus.

With a {sup 9}Be{sup +} trapped-ion hyperfine-state qubit, we demonstrate an error probability per randomized single-qubit gate of 2.0(2)x10{sup -5}, below the threshold estimate of 10{sup -4} commonly considered sufficient for fault-tolerant quantum computing. The {sup 9}Be{sup +} ion is trapped above a microfabricated surface-electrode ion trap and is manipulated with microwaves applied to a trap electrode. The achievement of low single-qubit-gate errors is an essential step toward the construction of a scalable quantum computer.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/9a9a8952b3c22bc7e7950d2ed65f0bb44b79a9e2

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Polynomial-Time T-Depth Optimization of Clifford+T Circuits Via Matroid Partitioning (2013, background): “However, even with recent advances in quantum information processing technologies [6, 7, 8, 26], the prospects of scalable quantum computing without some systematic way of mitigating physical errors and noise are bleak.”
Ion-trap measurements of electric-field noise near surfaces (2014, background): “However, the ion is partly shielded by the electrodes, and also shielded by the vacuum chamber and other conductors [such as heat shields in cryogenic systems (Brown et al., 2011b)].”
Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography (2016, background): “Although lower RB error rates have been reported in trapped-ion qubits [15, 16], our gates are the first to demonstrably surpass a rigorous fault tolerance threshold against general noise.”
A Meet-in-the-Middle Algorithm for Fast Synthesis of Depth-Optimal Quantum Circuits (2012, background): “l resources available, it will be most important to reduce the resources required to implement a given quantum circuit. With recent advances in quantum information processing technologies ([7], [20], [5], [4]) and improvements to fault-tolerant thresholds ([10], [11], [3]), larger quantum devices ar”