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A Roadmap for Simulating Chemical Dynamics on a Parametrically Driven Bosonic Quantum Device.

Delmar G A Cabral1, Pouya Khazaei2, Brandon C Allen1

  • 1Department of Chemistry, Yale University, New Haven, Connecticut 06520, United States.

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|November 26, 2024
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Summary
This summary is machine-generated.

Simulating chemical reaction dynamics, including quantum effects, is now feasible using superconducting Kerr-cat devices. This novel approach accurately models proton-transfer reactions in benchmark systems.

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Area of Science:

  • Quantum Chemistry
  • Chemical Dynamics
  • Superconducting Circuits

Background:

  • Chemical reactions are often modeled using reactive flux over a free energy barrier.
  • Traditional rate theories neglect crucial quantum effects like tunneling and barrier recrossing.
  • Simulating complex reaction dynamics remains a significant challenge in chemistry.

Purpose of the Study:

  • To investigate the feasibility of simulating chemical reaction dynamics using a parametrically driven bosonic superconducting Kerr-cat device.
  • To explore the control over reaction parameters and environmental factors offered by this quantum simulation approach.
  • To demonstrate the accuracy of this method for complex chemical systems.

Main Methods:

  • Utilized a parametrically driven bosonic superconducting Kerr-cat device for quantum simulations.
  • Controlled parameters defining the double-well free energy profile.
  • Simulated the coupling between the reaction coordinate and a thermal bath.

Main Results:

  • Successfully demonstrated the simulation of chemical reaction dynamics on accessible Kerr-cat devices.
  • Accurately simulated proton-transfer reactions in benchmark models like malonaldehyde and DNA base pairs.
  • Showcased the device's ability to control reaction parameters and environmental coupling.

Conclusions:

  • Parametrically driven superconducting Kerr-cat devices offer a viable platform for simulating complex chemical reaction dynamics.
  • This quantum simulation approach accurately captures quantum effects often ignored by traditional theories.
  • The method holds promise for advancing our understanding of reactions in systems like hydrogen-bonded dimers and DNA.