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Matsubara dynamics approximation for generalized multi-time correlation functions.

Pablo E Videla1, Victor S Batista1

  • 1Department of Chemistry, Yale University, 225 Prospect Street, New Haven, Connecticut 06520-8107, USA.

The Journal of Chemical Physics
|May 8, 2023
PubMed
Summary
This summary is machine-generated.

We present a semi-classical approximation using Matsubara dynamics to calculate multi-time correlation functions. This method bridges quantum and classical descriptions, showing improved accuracy over classical dynamics for chemical dynamics.

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Area of Science:

  • Quantum dynamics
  • Chemical physics
  • Computational chemistry

Background:

  • Calculating multi-time correlation functions is crucial for understanding chemical dynamics.
  • Existing methods face challenges in accurately describing quantum effects in condensed phase systems.
  • Matsubara dynamics offers a classical approach to conserve quantum Boltzmann distributions.

Purpose of the Study:

  • To introduce a novel semi-classical approximation for generalized multi-time correlation functions.
  • To leverage Matsubara dynamics for improved accuracy in quantum dynamics calculations.
  • To provide a theoretical bridge between quantum and classical descriptions.

Main Methods:

  • Developed a semi-classical approximation based on Matsubara dynamics.
  • Expressed generalized multi-time correlation functions as phase-space integrals.
  • Incorporated classically evolved observables coupled via Poisson brackets in Matsubara space.

Main Results:

  • The Matsubara approximation shows exactness in zero-time and harmonic limits.
  • It reduces to classical dynamics with a single Matsubara mode (centroid).
  • Numerical tests demonstrate superior agreement with exact results compared to classical dynamics.

Conclusions:

  • The developed method offers a promising semi-classical approach for chemical dynamics.
  • It serves as a benchmark for future quantum-Boltzmann-preserving approximations.
  • Addressing the phase problem in Matsubara dynamics is key for practical applications.