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Interface-induced spin-orbit interaction in silicon quantum dots and prospects for scalability

Rifat Ferdous, Kok W. Chan, Menno Veldhorst, J. C. C. Hwang, C. H. Yang, Harshad Sahasrabudhe, Gerhard Klimeck, Andrea Morello, Andrew S. Dzurak, and Rajib Rahman
Phys. Rev. B 97, 241401(R) – Published 4 June 2018
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Abstract

We identify the presence of monatomic steps at the Si/SiGe or Si/SiO2 interface as a dominant source of variations in the dephasing time of silicon (Si) quantum dot (QD) spin qubits. First, using atomistic tight-binding calculations we show that the g-factors and their Stark shifts undergo variations due to these steps. We compare our theoretical predictions with experiments on QDs at a Si/SiO2 interface, in which we observe significant differences in Stark shifts between QDs in two different samples. We also experimentally observe variations in the g-factors of one-electron and three-electron spin qubits realized in three neighboring QDs on the same sample, at a level consistent with our calculations. The dephasing times of these qubits also vary, most likely due to their varying sensitivity to charge noise, resulting from different interface conditions. More importantly, from our calculations we show that by employing the anisotropic nature of the spin-orbit interaction (SOI) in a Si QD, we can minimize and control these variations. Ultimately, we predict that the dephasing times of the Si QD spin qubits will be anisotropic and can be improved by at least an order of magnitude, by aligning the external dc magnetic field towards specific crystal directions, given other decoherence mechanisms do not dominate over charge noise.

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  • Received 3 May 2017
  • Revised 11 May 2018

DOI:https://doi.org/10.1103/PhysRevB.97.241401

©2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Rifat Ferdous1,*, Kok W. Chan2,†, Menno Veldhorst3, J. C. C. Hwang2, C. H. Yang2, Harshad Sahasrabudhe1, Gerhard Klimeck1, Andrea Morello2, Andrew S. Dzurak2, and Rajib Rahman1

  • 1Network for Computational Nanotechnology, Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907, USA
  • 2Centre for Quantum Computation and Communication Technology, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, New South Wales 2052, Australia
  • 3QuTech and Kavli Institute of Nanoscience, TU Delft, Lorentzweg 1, 2628 CJ Delft, The Netherlands

  • *rferdous@purdue.edu
  • kokwai@unsw.edu.au

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Issue

Vol. 97, Iss. 24 — 15 June 2018

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