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Developing efficient high-dimensional bases for quantum dynamics is challenging. This study introduces time-dependent Gaussian bases guided by quantum trajectories, offering a compact wave function representation for molecular motion.

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Area of Science:

  • Quantum dynamics
  • Computational chemistry
  • Molecular modeling

Background:

  • Accurate simulation of molecular and fragment motion, especially large amplitude motion, necessitates efficient high-dimensional bases.
  • Existing methods often rely on Gaussian bases with parameters optimized via classical trajectories or variational equations, which can be computationally intensive.

Purpose of the Study:

  • To develop a novel, general approach for constructing efficient high-dimensional bases in quantum dynamics.
  • To utilize quantum or Bohmian trajectories for guiding the construction of time-dependent Gaussian bases.

Main Methods:

  • Defining time-dependent Gaussian bases through an ensemble of quantum or Bohmian trajectories.
  • Extracting quantum trajectories from a wave function expanded in a basis.
  • Using these trajectories to guide the optimization of compact Gaussian bases.

Main Results:

  • Demonstrated the ability of quantum trajectories to provide a compact representation of the wave function.
  • Successfully illustrated the application of trajectory-guided Gaussian bases on several model problems.
  • Showcased a practical method for constructing efficient bases despite the general impracticality of exact quantum trajectory dynamics.

Conclusions:

  • The proposed method offers a general and efficient approach to constructing high-dimensional bases for quantum dynamics.
  • Guiding Gaussian bases with quantum trajectories provides a compact and effective representation for wave function evolution.
  • This technique holds promise for advancing the study of large amplitude molecular motion.