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Model-Independent Simulation Complexity of Complex Quantum Dynamics.

Aiman Khan1, David Quigley1, Max Marcus2

  • 1Department of Physics, University of Warwick, Coventry CV4 7AL, United Kingdom.

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This summary is machine-generated.

We developed a new method to measure quantum system complexity using pulsed light. This approach reveals the size of quantum states in complex systems like light-harvesting complexes.

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Area of Science:

  • Quantum dynamics
  • Spectroscopy
  • Condensed matter physics

Background:

  • Understanding complex quantum dynamics is crucial for fields like quantum computing and materials science.
  • Current methods often rely on specific models, limiting their applicability.
  • Characterizing the complexity and size of quantum states is a key challenge.

Purpose of the Study:

  • To introduce a model-independent measure for quantifying the dynamical complexity of quantum systems.
  • To infer the Hilbert space dimension and spatial extent of quantum states using pulsed spectroscopy.
  • To apply this method to simulated and experimental data from light-harvesting complexes.

Main Methods:

  • Simulating complex quantum dynamics using stroboscopic Markovian dynamics.
  • Applying classical signal processing tools to analyze pulsed interrogation data.
  • Utilizing third-order pump-probe spectroscopy and nonlinear ultrafast optical spectroscopy data.

Main Results:

  • Demonstrated a model-independent measure of dynamical complexity.
  • Successfully inferred the Hilbert space dimension of a coupled dimer model.
  • Applied the method to light-harvesting 2 (LH2) and Fenna-Matthews-Olson (FMO) complexes, yielding model-independent inferences.
  • Estimated the minimum parameters needed for data fitting and determined the delocalization size of participating quantum states.

Conclusions:

  • The developed method provides a robust, model-independent way to assess quantum system complexity.
  • This approach offers valuable insights into the nature of excitonic transport in biological systems.
  • The technique has the potential to advance our understanding of quantum phenomena in complex molecular architectures.