Evidence map›Paper›PMID 41710786›Full record

ReviewACS energy letters2026

Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges.

Seongmin Kim, In-Saeng Suh, Travis S Humble, Thomas Beck, Eungkyu Lee, Tengfei Luo

Abstract readReview
In one paragraph

Review in ACS energy letters, 2026. 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

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

6 authors.

Seongmin KimNational Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.ORCID https://orcid.org/0000-0001-5906-3004
In-Saeng SuhNational Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.
Travis S HumbleQuantum Science Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.
Thomas BeckNational Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.ORCID https://orcid.org/0000-0001-8973-7145
Eungkyu LeeDepartment of Electronic Engineering, Kyung Hee University, Yongin-Si, Gyonggi-do 17104, Republic of Korea.ORCID https://orcid.org/0000-0002-0211-0727
Tengfei LuoDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID https://orcid.org/0000-0003-3940-8786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing high-performance materials is critical for diverse energy applications to increase efficiency, improve sustainability and reduce costs. Classical computational methods have enabled important breakthroughs in energy materials development, but they face scaling and time-complexity limitations, particularly for high-dimensional or strongly correlated material systems. Quantum computing (QC) promises to offer a paradigm shift by exploiting quantum bits with their superposition and entanglement to address challenging problems intractable for classical approaches. This Perspective discusses the opportunities in leveraging QC to advance energy materials research and the challenges QC faces in solving complex and high-dimensional problems. We present cases on how QC, when combined with classical computing methods, can be used for the design and simulation of practical energy materials. We also outline the outlook for error-corrected, fault-tolerant QC capable of achieving predictive accuracy and quantum advantage for complex material systems.

Identifiers

PMID41710786
PMCPMC12910668

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Registered trials

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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.