Highly stable two-level current fluctuation in complex oxide heterostructures.

Journal: Nature communications
Published Date:

Abstract

Two-level systems based on point defects in dielectric oxides offer promising entropy source for random number generators. The random telegraph noise (RTN) generated by the two-level systems is ideal for creating random bit-strings for advanced computing and cryptographic technologies. However, in classical oxide systems, RTN signals often suffer from instability due to undesired defect migration and metastable electronic states. Herein, we present a two-level quantum system based on SrRuO/LaAlO/Nb-doped SrTiO heterostructure, which incorporates two different types of point defects, oxygen vacancies and antisite Ti defects. Temporal electron localization at antisite defects alters the energy levels of nearby oxygen vacancies through instantaneous Coulomb interaction, resulting in two-level current fluctuation across the interface. The RTN-like current signals exhibit high stability at room temperature. We utilize the stable two-level fluctuations to generate random bit-strings and confirm their applicability in practical stochastic machine learning algorithms for image super-resolution. This study provides a guideline for designing reliable entropy sources by exploiting the complementary interactions between cation and anion point defects in oxide-based electronic systems, essential for hardware-based random number generators.

Authors

  • Doyeop Kim
    Department of Energy Systems Research, Ajou University, Suwon, Republic of Korea.
  • Jung-Woo Lee
    Department of Materials Science and Engineering, Hongik University, Sejong, Republic of Korea.
  • Jihyun Lim
    Department of Computer Engineering, Inha University, Incheon, Republic of Korea.
  • Sungjun Choi
    Department of Energy Systems Research, Ajou University, Suwon, Republic of Korea.
  • Khimananda Acharya
    Physics Department, South Dakota School of Mines and Technology, Rapid City, USA, SD.
  • Seobin Oh
    Department of Physics, Ajou University, Suwon, Republic of Korea.
  • Jaewhan Oh
    Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Tula R Paudel
    Physics Department, South Dakota School of Mines and Technology, Rapid City, USA, SD.
  • Yongsoo Yang
    Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. yongsoo.yang@kaist.ac.kr.
  • Kitae Eom
    Department of Electronic Engineering, Gachon University, Seongnam, Republic of Korea. keom@gachon.ac.kr.
  • SunWoo Lee
    Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul 02792, Korea.
  • Hyungwoo Lee
    Department of Ophthalmology, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, Republic of Korea.

Keywords

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