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A silicon-based nuclear spin quantum computer

Author

Listed:
  • B. E. Kane

    (Semiconductor Nanofabrication Facility, School of Physics, University of New South Wales)

Abstract

Quantum computers promise to exceed the computational efficiency of ordinary classical machines because quantum algorithms allow the execution of certain tasks in fewer steps. But practical implementation of these machines poses a formidable challenge. Here I present a scheme for implementing a quantum-mechanical computer. Information is encoded onto the nuclear spins of donor atoms in doped silicon electronic devices. Logical operations on individual spins are performed using externally applied electric fields, and spin measurements are made using currents of spin-polarized electrons. The realization of such a computer is dependent on future refinements of conventional silicon electronics.

Suggested Citation

  • B. E. Kane, 1998. "A silicon-based nuclear spin quantum computer," Nature, Nature, vol. 393(6681), pages 133-137, May.
    • Handle: RePEc:nat:nature:v:393:y:1998:i:6681:d:10.1038_30156
    DOI: 10.1038/30156
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    Cited by:

    1. Roland W. Scholz, 2016. "Sustainable Digital Environments: What Major Challenges Is Humankind Facing?," Sustainability, MDPI, vol. 8(8), pages 1-31, July.
    2. Katrina Barnes & Peter Battaglino & Benjamin J. Bloom & Kayleigh Cassella & Robin Coxe & Nicole Crisosto & Jonathan P. King & Stanimir S. Kondov & Krish Kotru & Stuart C. Larsen & Joseph Lauigan & Bri, 2022. "Assembly and coherent control of a register of nuclear spin qubits," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Rishabh Upadhyay & Dmitry S. Golubev & Yu-Cheng Chang & George Thomas & Andrew Guthrie & Joonas T. Peltonen & Jukka P. Pekola, 2024. "Microwave quantum diode," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Qiao, Bi & Xing, X.S. & Ruda, H.E., 2005. "Kinetic equations for quantum information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 319-332.
    5. Lai Xu & Aamir Muhammad & Yifei Pu & Jiliu Zhou & Yi Zhang, 2019. "Fractional-order quantum particle swarm optimization," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    6. 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.
    7. Sellier, J.M. & Dimov, I., 2015. "Toward solotronics design in the Wigner formalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 287-296.
    8. Sellier, J.M. & Dimov, I., 2014. "A Wigner approach to the study of wave packets in ordered and disordered arrays of dopants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 185-190.
    9. 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.
    10. Procopios Constantinou & Taylor J. Z. Stock & Li-Ting Tseng & Dimitrios Kazazis & Matthias Muntwiler & Carlos A. F. Vaz & Yasin Ekinci & Gabriel Aeppli & Neil J. Curson & Steven R. Schofield, 2024. "EUV-induced hydrogen desorption as a step towards large-scale silicon quantum device patterning," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    11. Cafaro, Carlo, 2017. "Geometric algebra and information geometry for quantum computational software," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 154-196.

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