Accurate quantum-centric simulations of intermolecular interactions

Modelling and simulating non-covalent interactions is challenging, as they are inherently weak, dynamic, and system-specific. Common predictive methods often require trading the accuracy for reducing the otherwise cumbersome computational cost. To date, the most accurate approaches, achieving chemical accuracy, rely on quantum mechanical descriptions of non-covalent interactions, which limits their scalability. Whether quantum computing could overcome these limitations is still unclear, as such methods need to be redesigned for quantum hardware. Here, we take the first step in this direction by presenting quantum-centric simulations of non-covalent interactions using a supramolecular approach for binding energy calculations. We use a sample-based quantum diagonalization (SQD) approach to simulate the potential energy surfaces (PES) of the water and methane dimers, featuring hydrogen bond and dispersion interactions, respectively. We benchmark our quantum simulations (27- and 36-qubit circuits) against classical methods, registering deviations within 1.000 kcal/mol from the leading ones. Finally, we test the limits of the quantum methods for capturing dispersion interactions with an experiment on 54 qubits. Beyond reaching state-of-the-art accuracy, our work lays out a framework for electronic structure calculations of non-covalent interactions on quantum hardware.

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Publication Details

Journal
Communications Physics
Published
2025-10-08
DOI
https://doi.org/10.1038/s42005-025-02305-9
Citations
2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
1.04

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article

Accurate quantum-centric simulations of intermolecular interactions

Caleb Johnson, Mário Motta, Susanta Das, Abhishek Mitra et al.
2 citations
Communications Physics
Machine Learning in Materials Science
1.04
article

Accurate quantum-centric simulations of intermolecular interactions

Caleb Johnson, Mário Motta, Susanta Das, Abhishek Mitra, Danil Kaliakin, Antonio Mezzacapo, Iskandar Sitdikov, Javier Robledo Moreno, Akhil Shajan, Abdullah Ash Saki, Kenneth M. Merz, Fangchun Liang, Zhen Li
article en
2 citations

Abstract

Modelling and simulating non-covalent interactions is challenging, as they are inherently weak, dynamic, and system-specific. Common predictive methods often require trading the accuracy for reducing the otherwise cumbersome computational cost. To date, the most accurate approaches, achieving chemical accuracy, rely on quantum mechanical descriptions of non-covalent interactions, which limits their scalability. Whether quantum computing could overcome these limitations is still unclear, as such methods need to be redesigned for quantum hardware. Here, we take the first step in this direction by presenting quantum-centric simulations of non-covalent interactions using a supramolecular approach for binding energy calculations. We use a sample-based quantum diagonalization (SQD) approach to simulate the potential energy surfaces (PES) of the water and methane dimers, featuring hydrogen bond and dispersion interactions, respectively. We benchmark our quantum simulations (27- and 36-qubit circuits) against classical methods, registering deviations within 1.000 kcal/mol from the leading ones. Finally, we test the limits of the quantum methods for capturing dispersion interactions with an experiment on 54 qubits. Beyond reaching state-of-the-art accuracy, our work lays out a framework for electronic structure calculations of non-covalent interactions on quantum hardware.

Communications PhysicsVol. 8(1)
IBM (United States) (US), Cleveland Clinic Lerner College of Medicine (US), IBM Research - Thomas J. Watson Research Center (US), Michigan State University (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 22%
Machine Learning in Materials Science
1.04
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