Spin-valley lifetimes in a silicon quantum dot with tunable valley splitting

C. H. Yang, A. Rossi*, R. Ruskov, N. S. Lai, F. A. Mohiyaddin, S. Lee, C. Tahan, G. Klimeck, A. Morello, A. S. Dzurak

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

267 Citations (Scopus)

Abstract

Although silicon is a promising material for quantum computation, the degeneracy of the conduction band minima (valleys) must be lifted with a splitting sufficient to ensure the formation of well-defined and long-lived spin qubits. Here we demonstrate that valley separation can be accurately tuned via electrostatic gate control in a metal-oxide-semiconductor quantum dot, providing splittings spanning 0.3-0.8 meV. The splitting varies linearly with applied electric field, with a ratio in agreement with atomistic tight-binding predictions. We demonstrate single-shot spin read-out and measure the spin relaxation for different valley configurations and dot occupancies, finding one-electron lifetimes exceeding 2 s. Spin relaxation occurs via phonon emission due to spin-orbit coupling between the valley states, a process not previously anticipated for silicon quantum dots. An analytical theory describes the magnetic field dependence of the relaxation rate, including the presence of a dramatic rate enhancement (or hot-spot) when Zeeman and valley splittings coincide.

Original languageEnglish
Article number2069
JournalNature Communications
Volume4
DOIs
Publication statusPublished - 27 Jun 2013

Funding

The authors thank D. Culcer for insightful discussions, and F. Hudson and D. Barber for technical support. This work was supported by the Australian National Fabrication Facility, the Australian Research Council (under contract CE110001027) and by the U.S. Army Research Office (under contract W911NF-13-1-0024). The use of nanoHUB.org computational resources operated by the Network for Computational Nanotechnology, funded by the US National Science Foundation under grant EEC-0228390, is gratefully acknowledged.

Keywords

  • silicon
  • quantum computation
  • quantum dots

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