論文

査読有り
2009年2月

Spin state tomography of optically injected electrons in a semiconductor

NATURE
  • Hideo Kosaka
  • ,
  • Takahiro Inagaki
  • ,
  • Yoshiaki Rikitake
  • ,
  • Hiroshi Imamura
  • ,
  • Yasuyoshi Mitsumori
  • ,
  • Keiichi Edamatsu

457
7230
開始ページ
702
終了ページ
705
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1038/nature07729
出版者・発行元
NATURE PUBLISHING GROUP

Spin is a fundamental property of electrons, with an important role in information storage(1-4). For spin- based quantum information technology, preparation and read- out of the electron spin state are essential functions(5-13). Coherence of the spin state is a manifestation of its quantum nature, so both the preparation and read- out should be spin- coherent. However, the traditional spin measurement technique based on Kerr rotation, which measures spin population using the rotation of the reflected light polarization that is due to the magneto- optical Kerr effect, requires an extra step of spin manipulation or precession to infer the spin coherence(14-20). Here we describe a technique that generalizes the traditional Kerr rotation approach to enable us to measure the electron spin coherence directly without needing to manipulate the spin dynamics, which allows for a spin projection measurement on an arbitrary set of basis states. Because this technique enables spin state tomography, we call it tomographic Kerr rotation. We demonstrate that the polarization coherence of light is transferred to the spin coherence of electrons, and confirm this by applying the tomographic Kerr rotation method to semiconductor quantum wells with precessing and non- precessing electrons. Spin state transfer and tomography offers a tool for performing basis- independent preparation and read- out of a spin quantum state in a solid.

リンク情報
DOI
https://doi.org/10.1038/nature07729
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000263064700036&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/nature07729
  • ISSN : 0028-0836
  • Web of Science ID : WOS:000263064700036

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