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Silicon quantum processor with robust long-distance qubit couplings

Author

Listed:
  • Guilherme Tosi

    (School of Electrical Engineering & Telecommunications, UNSW)

  • Fahd A. Mohiyaddin

    (School of Electrical Engineering & Telecommunications, UNSW
    Oak Ridge National Laboratory)

  • Vivien Schmitt

    (School of Electrical Engineering & Telecommunications, UNSW)

  • Stefanie Tenberg

    (School of Electrical Engineering & Telecommunications, UNSW)

  • Rajib Rahman

    (Purdue University)

  • Gerhard Klimeck

    (Purdue University)

  • Andrea Morello

    (School of Electrical Engineering & Telecommunications, UNSW)

Abstract

Practical quantum computers require a large network of highly coherent qubits, interconnected in a design robust against errors. Donor spins in silicon provide state-of-the-art coherence and quantum gate fidelities, in a platform adapted from industrial semiconductor processing. Here we present a scalable design for a silicon quantum processor that does not require precise donor placement and leaves ample space for the routing of interconnects and readout devices. We introduce the flip-flop qubit, a combination of the electron-nuclear spin states of a phosphorus donor that can be controlled by microwave electric fields. Two-qubit gates exploit a second-order electric dipole-dipole interaction, allowing selective coupling beyond the nearest-neighbor, at separations of hundreds of nanometers, while microwave resonators can extend the entanglement to macroscopic distances. We predict gate fidelities within fault-tolerance thresholds using realistic noise models. This design provides a realizable blueprint for scalable spin-based quantum computers in silicon.

Suggested Citation

  • Guilherme Tosi & Fahd A. Mohiyaddin & Vivien Schmitt & Stefanie Tenberg & Rajib Rahman & Gerhard Klimeck & Andrea Morello, 2017. "Silicon quantum processor with robust long-distance qubit couplings," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00378-x
    DOI: 10.1038/s41467-017-00378-x
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    Cited by:

    1. Piotr Kot & Maneesha Ismail & Robert Drost & Janis Siebrecht & Haonan Huang & Christian R. Ast, 2023. "Electric control of spin transitions at the atomic scale," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    2. K. S. Cujia & K. Herb & J. Zopes & J. M. Abendroth & C. L. Degen, 2022. "Parallel detection and spatial mapping of large nuclear spin clusters," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Sellier, Jean Michel, 2018. "Combining neural networks and signed particles to simulate quantum systems more efficiently," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 62-71.

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