Evidence map›Paper›PMID 40166011›Full record

ArticleResearch square2025

Accurate quantum-centric simulations of supramolecular interactions.

Danil Kaliakin, Akhil Shajan, Javier Robledo Moreno, Zhen Li, Abhishek Mitra, Mario Motta, Caleb Johnson, Abdullah Ash Saki, Susanta Das, Iskandar Sitdikov and 2 more

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Danil KaliakinCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
Akhil ShajanCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
Javier Robledo MorenoIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.ORCID 0000-0001-6852-7296
Zhen LiCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
Abhishek MitraCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
Mario MottaIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.
Caleb JohnsonIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.ORCID 0009-0009-8757-4739
Abdullah Ash SakiIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.
Susanta DasCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.
Iskandar SitdikovIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.
Antonio MezzacapoIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, United States.
Kenneth M MerzCenter for Computational Life Sciences, Lerner Research Institute, The Cleveland Clinic, Cleveland, Ohio 44106, United States.

Funding

Modeling Transition Metal Ion Binding to ProteinsR01GM130641 · NIGMS · MICHIGAN STATE UNIVERSITY · PI KENNETH M. MERZ · 2019 to 2026
$2.5M
NIGMS NIH HHS R01 GM130641
6 · The paper itself

Abstract

We present the first quantum-centric simulations of noncovalent interactions using a supramolecular approach. We simulate the potential energy surfaces (PES) of the water and methane dimers, featuring hydrophilic and hydrophobic interactions, respectively, with a sample-based quantum diagonalization (SQD) approach. Our simulations on quantum processors, using 27- and 36-qubit circuits, are in remarkable agreement with classical methods, deviating from complete active space configuration interaction (CASCI) and coupled-cluster singles, doubles, and perturbative triples (CCSD(T)) within 1 kcal/mol in the equilibrium regions of the PES. Finally, we test the capacity limits of the quantum methods for capturing hydrophobic interactions with an experiment on 54 qubits. These results mark significant progress in the application of quantum computing to chemical problems, paving the way for more accurate modeling of noncovalent interactions in complex systems critical to the biological, chemical and pharmaceutical sciences.

Identifiers

PMID40166011
PMCPMC11957199

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.