Quantum Computing with Radiofrequency-driven Trapped Atomic Ions

Th. Sriarunothai; S. Wölk; S. Wölk; G. S. Giri; N. Friis; N. Friis; V. Dunjko; V. Dunjko; H. J. Briegel; H. J. Briegel; P. Kaufmann; T. F. Gloger; D. Kaufmann; M. Johanning; Ch. Wunderlich

doi:10.1364/QIM.2019.S2D.3

Quantum Information and Measurement (QIM) V: Quantum Technologies
OSA Technical Digest (Optica Publishing Group, 2019),
paper S2D.3
•https://doi.org/10.1364/QIM.2019.S2D.3

Quantum Computing with Radiofrequency-driven Trapped Atomic Ions

Th. Sriarunothai, S. Wölk, G. S. Giri, N. Friis, V. Dunjko, H. J. Briegel, P. Kaufmann, T. F. Gloger, D. Kaufmann, M. Johanning, and Ch. Wunderlich

Quantum Information and Measurement 2019

Rome Italy
4–6 April 2019
ISBN: 978-1-943580-56-9

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Quantum Simulation and Computing III (S2D)

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T. Sriarunothai, S. Wölk, G. S. Giri, N. Friis, V. Dunjko, H. J. Briegel, P. Kaufmann, T. F. Gloger, D. Kaufmann, M. Johanning, and C. Wunderlich, "Quantum Computing with Radiofrequency-driven Trapped Atomic Ions," in Quantum Information and Measurement (QIM) V: Quantum Technologies, OSA Technical Digest (Optica Publishing Group, 2019), paper S2D.3.

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Abstract

A programmable quantum computer based on trapped ions interacting via magnetic gradient induced coupling (MAGIC) is used for reinforcement learning. Quantum information encoded in hyperfine qubits is preserved with 99.9994(+6-7)% fidelity during ion transport.

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