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Title: Description of reaction and vibrational energetics of CO2–NH3 interaction using quantum computing algorithms

Abstract

CO2 capture is critical to solving global warming. Amine-based solvents are extensively used to chemically absorb CO2. Thus, it is crucial to study the chemical absorption of CO2 by amine-based solvents to better understand and optimize CO2 capture processes. Here, we use quantum computing algorithms to quantify molecular vibrational energies and reaction pathways between CO2 and a simplified amine-based solvent model—NH3. Molecular vibrational properties are important to understanding kinetics of reactions. However, the molecule size correlates with the strength of anharmonicity effect on vibrational properties, which can be challenging to address using classical computing. Quantum computing can help enhance molecular vibrational calculations by including anharmonicity. We implement a variational quantum eigensolver (VQE) algorithm in a quantum simulator to calculate ground state vibrational energies of reactants and products of the CO2 and NH3 reaction. The VQE calculations yield ground vibrational energies of CO2 and NH3 with similar accuracy to classical computing. In the presence of hardware noise, Compact Heuristic for Chemistry (CHC) ansatz with shallower circuit depth performs better than Unitary Vibrational Coupled Cluster. The “Zero Noise Extrapolation” error-mitigation approach in combination with CHC ansatz improves the vibrational calculation accuracy. Excited vibrational states are accessed with quantum equation of motion methodmore » for CO2 and NH3. Using quantum Hartree–Fock (HF) embedding algorithm to calculate electronic energies, the corresponding reaction profile compares favorably with Coupled Cluster Singles and Doubles while being more accurate than HF. Our research showcases quantum computing applications in the study of CO2 capture reactions.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [2]
  1. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States); Univ. of Kentucky, Lexington, KY (United States)
  2. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
  3. Univ. of Kentucky, Lexington, KY (United States)
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE); USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1962424
Alternate Identifier(s):
OSTI ID: 1961480
Grant/Contract Number:  
1024903; 89243318CFE000003; LDRD #1024903
Resource Type:
Accepted Manuscript
Journal Name:
AVS Quantum Science
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2639-0213
Publisher:
American Institute of Physics (AIP) - American Vacuum Society
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Quantum computing; Self consistent field methods; Energy economics; Global warming; Potential energy surfaces; Vibrational properties; Algorithms and data structure; Quantum simulators; Coupled-cluster methods; Reaction mechanisms

Citation Formats

Nguyen, Manh Tien, Lee, Yueh-Lin, Alfonso, Dominic, Shao, Qing, and Duan, Yuhua. Description of reaction and vibrational energetics of CO2–NH3 interaction using quantum computing algorithms. United States: N. p., 2023. Web. doi:10.1116/5.0137750.
Nguyen, Manh Tien, Lee, Yueh-Lin, Alfonso, Dominic, Shao, Qing, & Duan, Yuhua. Description of reaction and vibrational energetics of CO2–NH3 interaction using quantum computing algorithms. United States. https://doi.org/10.1116/5.0137750
Nguyen, Manh Tien, Lee, Yueh-Lin, Alfonso, Dominic, Shao, Qing, and Duan, Yuhua. Tue . "Description of reaction and vibrational energetics of CO2–NH3 interaction using quantum computing algorithms". United States. https://doi.org/10.1116/5.0137750. https://www.osti.gov/servlets/purl/1962424.
@article{osti_1962424,
title = {Description of reaction and vibrational energetics of CO2–NH3 interaction using quantum computing algorithms},
author = {Nguyen, Manh Tien and Lee, Yueh-Lin and Alfonso, Dominic and Shao, Qing and Duan, Yuhua},
abstractNote = {CO2 capture is critical to solving global warming. Amine-based solvents are extensively used to chemically absorb CO2. Thus, it is crucial to study the chemical absorption of CO2 by amine-based solvents to better understand and optimize CO2 capture processes. Here, we use quantum computing algorithms to quantify molecular vibrational energies and reaction pathways between CO2 and a simplified amine-based solvent model—NH3. Molecular vibrational properties are important to understanding kinetics of reactions. However, the molecule size correlates with the strength of anharmonicity effect on vibrational properties, which can be challenging to address using classical computing. Quantum computing can help enhance molecular vibrational calculations by including anharmonicity. We implement a variational quantum eigensolver (VQE) algorithm in a quantum simulator to calculate ground state vibrational energies of reactants and products of the CO2 and NH3 reaction. The VQE calculations yield ground vibrational energies of CO2 and NH3 with similar accuracy to classical computing. In the presence of hardware noise, Compact Heuristic for Chemistry (CHC) ansatz with shallower circuit depth performs better than Unitary Vibrational Coupled Cluster. The “Zero Noise Extrapolation” error-mitigation approach in combination with CHC ansatz improves the vibrational calculation accuracy. Excited vibrational states are accessed with quantum equation of motion method for CO2 and NH3. Using quantum Hartree–Fock (HF) embedding algorithm to calculate electronic energies, the corresponding reaction profile compares favorably with Coupled Cluster Singles and Doubles while being more accurate than HF. Our research showcases quantum computing applications in the study of CO2 capture reactions.},
doi = {10.1116/5.0137750},
journal = {AVS Quantum Science},
number = 1,
volume = 5,
place = {United States},
year = {Tue Mar 14 00:00:00 EDT 2023},
month = {Tue Mar 14 00:00:00 EDT 2023}
}

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