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Predicting Phonon-Induced Spin Decoherence from First Principles: Colossal Spin Renormalization in Condensed Matter.
Park, Jinsoo; Zhou, Jin-Jian; Luo, Yao; Bernardi, Marco.
Affiliation
  • Park J; Department of Applied Physics and Materials Science, California Institute of Technology, Pasadena, California 91125, USA.
  • Zhou JJ; School of Physics, Beijing Institute of Technology, Beijing 100081, China.
  • Luo Y; Department of Applied Physics and Materials Science, California Institute of Technology, Pasadena, California 91125, USA.
  • Bernardi M; Department of Physics, California Institute of Technology, Pasadena, California 91125, USA.
Phys Rev Lett ; 129(19): 197201, 2022 Nov 04.
Article in En | MEDLINE | ID: mdl-36399728
Developing a microscopic understanding of spin decoherence is essential to advancing quantum technologies. Electron spin decoherence due to atomic vibrations (phonons) plays a special role as it sets an intrinsic limit to the performance of spin-based quantum devices. Two main sources of phonon-induced spin decoherence-the Elliott-Yafet and Dyakonov-Perel mechanisms-have distinct physical origins and theoretical treatments. Here, we show calculations that unify their modeling and enable accurate predictions of spin relaxation and precession in semiconductors. We compute the phonon-dressed vertex of the spin-spin correlation function with a treatment analogous to the calculation of the anomalous electron magnetic moment in QED. We find that the vertex correction provides a giant renormalization of the electron spin dynamics in solids, greater by many orders of magnitude than the corresponding correction from photons in vacuum. Our Letter demonstrates a general approach for quantitative analysis of spin decoherence in materials, advancing the quest for spin-based quantum technologies.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Phys Rev Lett Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Phys Rev Lett Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States