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Updated: Mar 11, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Vibrational Properties of Hydroperoxyl Radical-Water Clusters Using Quantum Algorithms for Wavepacket Dynamics
Anurag Dwivedi1,2, Debadrita Saha1,2, Srinivasan S Iyengar1,2
1Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
This study demonstrates the first quantum computing simulation of wavepacket dynamics in HO2-water clusters, crucial for atmospheric chemistry. Quantum Shannon Decomposition accurately predicted vibrational spectra, validating quantum computation for complex chemical systems.
Area of Science:
- Quantum Computing
- Computational Chemistry
- Atmospheric Chemistry
Background:
- HO2-water clusters are vital in atmospheric chemistry.
- Anharmonicity in these systems leads to multidimensional quantum nuclear effects.
- Delocalized hydrogen bond networks contribute to complex dynamics.
Purpose of the Study:
- To perform the first quantum computing simulation of wavepacket dynamics in HO2-water clusters.
- To utilize the Quantum Shannon Decomposition (QSD) method for representing quantum propagators.
- To validate quantum simulation results against classical methods.
Main Methods:
- Employed the Quantum Shannon Decomposition (QSD) method.
- Represented the quantum propagator using Ry, Rz, and CNOT quantum gates.
- Utilized Qiskit and a Python driver for quantum wavepacket simulation.
Main Results:
- The quantum simulation yielded a vibrational spectrum in excellent agreement with classical results.
- Demonstrated the feasibility of quantum computing for simulating nuclear dynamics in chemical systems.
- The simulation was successfully performed in one- and two-nuclear dimensions.
Conclusions:
- Quantum computing, via QSD, is a viable tool for simulating complex chemical dynamics.
- This proof-of-principle study paves the way for larger, more complex quantum simulations.
- Future work will involve tensor network strategies for higher-dimensional simulations.
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