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Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks.

Shin-Liang Chen1,2, Neill Lambert3, Che-Ming Li4

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We introduce spatio-temporal steering (STS) to measure nonclassical correlations in quantum networks. This new method, with STS weight and robustness measures, is applied to biological systems like photosynthesis.

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Area of Science:

  • Quantum Information Science
  • Quantum Biology
  • Condensed Matter Physics

Background:

  • Quantum correlations are crucial for quantum information processing and understanding complex systems.
  • Existing measures like Einstein-Podolsky-Rosen steering and temporal steering capture specific quantum correlations.
  • Open quantum systems, such as biological networks, present unique challenges for characterizing nonclassical correlations.

Purpose of the Study:

  • Introduce the novel concept of spatio-temporal steering (STS) as a unified framework for quantifying nonclassical correlations.
  • Define quantitative measures for STS: STS weight and robustness.
  • Demonstrate the applicability of STS in assessing nonclassical correlations within open quantum networks, including biological systems.

Main Methods:

  • Developed the theoretical framework for spatio-temporal steering (STS).
  • Defined two key metrics: STS weight and STS robustness.
  • Applied STS to analyze quantum correlations in the Fenna-Matthews-Olson model of a photosynthetic pigment-protein complex.

Main Results:

  • STS generalizes existing steering concepts (Einstein-Podolsky-Rosen and temporal steering).
  • The STS weight and robustness provide quantifiable measures of nonclassical correlations.
  • STS successfully identified nonclassical correlations in the photosynthetic energy transfer model.

Conclusions:

  • Spatio-temporal steering offers a powerful new tool for characterizing nonclassical correlations in open quantum systems.
  • STS measures are valuable for analyzing quantum transport in nano-structures and excitation transfer in biological systems.
  • The application to the Fenna-Matthews-Olson model highlights STS's potential in quantum biology research.