Evidence map›Paper›PMID 38723159›Full record

ArticleJournal of chemical theory and computation2024

Toward Real Chemical Accuracy on Current Quantum Hardware Through the Transcorrelated Method.

Werner Dobrautz, Igor O Sokolov, Ke Liao, Pablo López Ríos, Martin Rahm, Ali Alavi, Ivano Tavernelli

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Werner DobrautzDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.ORCID 0000-0001-6479-1874
Igor O SokolovIBM Quantum, IBM Research Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.ORCID 0000-0002-0022-5686
Ke LiaoMax Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany.ORCID 0000-0002-3643-9141
Pablo López RíosMax Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany.
Martin RahmDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden.ORCID 0000-0001-7645-5923
Ali AlaviMax Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany.ORCID 0000-0002-0654-9489
Ivano TavernelliIBM Quantum, IBM Research Zurich, Säumerstrasse 4, 8803 Rüschlikon, Switzerland.ORCID 0000-0001-5690-1981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum computing is emerging as a new computational paradigm with the potential to transform several research fields including quantum chemistry. However, current hardware limitations (including limited coherence times, gate infidelities, and connectivity) hamper the implementation of most quantum algorithms and call for more noise-resilient solutions. We propose an explicitly correlated Ansatz based on the transcorrelated (TC) approach to target these major roadblocks directly. This method transfers, without any approximation, correlations from the wave function directly into the Hamiltonian, thus reducing the resources needed to achieve accurate results with noisy quantum devices. We show that the TC approach allows for shallower circuits and improves the convergence toward the complete basis set limit, providing energies within chemical accuracy to experiment with smaller basis sets and, thus, fewer qubits. We demonstrate our method by computing bond lengths, dissociation energies, and vibrational frequencies close to experimental results for the hydrogen dimer and lithium hydride using two and four qubits, respectively. To demonstrate our approach's current and near-term potential, we perform hardware experiments, where our results confirm that the TC method paves the way toward accurate quantum chemistry calculations already on today's quantum hardware.

Identifiers

PMID38723159
PMCPMC11137825

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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.