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Nonadiabatic Molecular Dynamics with Fermionic Subspace-Expansion Algorithms on Quantum Computers.

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We developed a new computational method for simulating molecular quantum dynamics using quantum computing. This approach accurately models chemical reactions by capturing essential electron correlation effects.

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Area of Science:

  • Quantum Computing
  • Computational Chemistry
  • Molecular Dynamics

Background:

  • Simulating excited-state molecular quantum dynamics is crucial for understanding chemical reactions.
  • Accurate electronic-structure calculations are essential for modeling non-adiabatic effects.

Purpose of the Study:

  • To introduce a novel computational framework for excited-state molecular quantum dynamics simulations.
  • To leverage quantum computing for electronic-structure calculations within the framework.
  • To compare different quantum algorithms for calculating excited-state properties.

Main Methods:

  • Utilized the fewest-switches surface-hopping method for nuclear dynamics.
  • Employed quantum subspace expansion and quantum equation-of-motion algorithms for electronic-structure calculations.
  • Applied the framework to simulate the hydrogen atom-hydrogen molecule collision reaction.

Main Results:

  • The study critically compared the accuracy and efficiency of various quantum algorithms.
  • Demonstrated that methods capturing both weak and strong electron correlation are necessary.
  • Showcased the framework's ability to describe non-adiabatic effects crucial for reactive events.

Conclusions:

  • The developed computational framework enables accurate simulations of excited-state molecular quantum dynamics.
  • Quantum computing-based electronic-structure methods are vital for capturing complex electron correlation.
  • Accurate modeling of non-adiabatic effects is key to understanding and predicting chemical reactivity.