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Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection
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Characterizing Si:P quantum dot qubits with spin resonance techniques.

Yu Wang1, Chin-Yi Chen1, Gerhard Klimeck1

  • 1Network for Computational Nanotechnology, Purdue University, West Lafayette, IN 47907, USA.

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|August 24, 2016
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Summary
This summary is machine-generated.

We present a new method using electron spin resonance (ESR) to characterize phosphorus donor quantum dots in silicon. This technique non-invasively reveals atomic-scale details about electron and nuclear spins for quantum bit applications.

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Area of Science:

  • Quantum computing
  • Solid-state physics
  • Materials science

Background:

  • Phosphorus donor quantum dots in silicon offer long spin lifetimes and addressability for quantum bits.
  • Accurate characterization of spin states and locations is crucial for qubit development.
  • Existing methods may be invasive or lack atomic-scale resolution.

Purpose of the Study:

  • To develop a non-invasive metrology technique for characterizing donor quantum dots.
  • To extract information on the number and location of electron and nuclear spins.
  • To enable precise control and readout of quantum information.

Main Methods:

  • Utilizing on-chip circuitry for electron spin resonance (ESR) measurements.
  • Employing atomistic tight-binding and Hartree self-consistent field approximations.
  • Analyzing electron-nuclear hyperfine interactions to determine spin configurations.

Main Results:

  • ESR transition frequencies are directly correlated with donor/electron counts and spatial arrangements.
  • The proposed technique provides atomic-scale information on quantum dot spin states.
  • Demonstrated feasibility of non-invasive characterization for qubit fabrication.

Conclusions:

  • Electron spin resonance offers a powerful tool for characterizing phosphorus donor quantum dots in silicon.
  • This metrology enables precise understanding of spin configurations essential for quantum computing.
  • The method facilitates the advancement of silicon-based quantum bits.