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Precision tomography of a three-qubit donor quantum processor in silicon

journal contribution
posted on 2024-11-02, 20:33 authored by Mateusz Mądzik, Serwan Asaad, Akram MohamedAkram Mohamed, Brett Johnson
Nuclear spins were among the first physical platforms to be considered for quantum information processing1,2, because of their exceptional quantum coherence3 and atomic-scale footprint. However, their full potential for quantum computing has not yet been realized, owing to the lack of methods with which to link nuclear qubits within a scalable device combined with multi-qubit operations with sufficient fidelity to sustain fault-tolerant quantum computation. Here we demonstrate universal quantum logic operations using a pair of ion-implanted 31P donor nuclei in a silicon nanoelectronic device. A nuclear two-qubit controlled-Z gate is obtained by imparting a geometric phase to a shared electron spin4, and used to prepare entangled Bell states with fidelities up to 94.2(2.7)%. The quantum operations are precisely characterized using gate set tomography (GST)5, yielding one-qubit average gate fidelities up to 99.95(2)%, two-qubit average gate fidelity of 99.37(11)% and two-qubit preparation/measurement fidelities of 98.95(4)%. These three metrics indicate that nuclear spins in silicon are approaching the performance demanded in fault-tolerant quantum processors6. We then demonstrate entanglement between the two nuclei and the shared electron by producing a Greenberger–Horne–Zeilinger three-qubit state with 92.5(1.0)% fidelity. Because electron spin qubits in semiconductors can be further coupled to other electrons7–9 or physically shuttled across different locations10,11, these results establish a viable route for scalable quantum information processing using donor nuclear and electron spins.

Funding

ARC Centre of Excellence for Quantum Computation and Communication Technology

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1038/s41586-021-04292-7
  2. 2.
    ISSN - Is published in 00280836

Journal

Nature

Volume

601

Issue

7893

Start page

348

End page

353

Total pages

6

Publisher

Springer

Place published

United Kingdom

Language

English

Copyright

© 2022 The Author(s), under exclusive licence to Springer Nature Limited.

Former Identifier

2006115662

Esploro creation date

2022-05-28

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