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Erschienen in: Quantum Information Processing 12/2016

01.12.2016

Toward a scalable quantum computing architecture with mixed species ion chains

verfasst von: John Wright, Carolyn Auchter, Chen-Kuan Chou, Richard D. Graham, Thomas W. Noel, Tomasz Sakrejda, Zichao Zhou, Boris B. Blinov

Erschienen in: Quantum Information Processing | Ausgabe 12/2016

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Abstract

We report on progress toward implementing mixed ion species quantum information processing for a scalable ion-trap architecture. Mixed species chains may help solve several problems with scaling ion-trap quantum computation to large numbers of qubits. Initial temperature measurements of linear Coulomb crystals containing barium and ytterbium ions indicate that the mass difference does not significantly impede cooling at low ion numbers. Average motional occupation numbers are estimated to be \(\bar{n} \approx 130\) quanta per mode for chains with small numbers of ions, which is within a factor of three of the Doppler limit for barium ions in our trap. We also discuss generation of ion–photon entanglement with barium ions with a fidelity of \(F \ge 0.84\), which is an initial step towards remote ion–ion coupling in a more scalable quantum information architecture. Further, we are working to implement these techniques in surface traps in order to exercise greater control over ion chain ordering and positioning.

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1
The supplementary material includes a video demonstration of shuttling from the loading region to the quantum region of the Sandia Y-Trap.
 
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Metadaten
Titel
Toward a scalable quantum computing architecture with mixed species ion chains
verfasst von
John Wright
Carolyn Auchter
Chen-Kuan Chou
Richard D. Graham
Thomas W. Noel
Tomasz Sakrejda
Zichao Zhou
Boris B. Blinov
Publikationsdatum
01.12.2016
Verlag
Springer US
Erschienen in
Quantum Information Processing / Ausgabe 12/2016
Print ISSN: 1570-0755
Elektronische ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-015-1220-9

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