Evidence map›Paper›PMID 42215647›Full record

ArticleScientific reports2026

Formation of topologically associated chromatin domains using quantum annealing.

Tobias Kempe, S M Ali Tabei, Mohammad H Ansari

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Tobias KempeDepartment of Physics, RWTH Aachen University, Aachen, Germany.
S M Ali TabeiDepartment of Physics, University of Northern Iowa, Cedar Falls, Iowa, 50614, United States. tabei@uni.edu.
Mohammad H AnsariPeter Grünberg Institute for Quantum Computing Analytics PGI-12, Forschungszentrum Jülich, Wilhelm-Johnen-Straße, Jülich, 52428, Germany. m.ansari@fz-juelich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Topologically Associating Chromatin Domains are spatially distinct chromatin regions that regulate transcription by segregating active and inactive genomic elements. Empirical studies show that their formation correlates with local patterns of epigenetic markers, yet the precise mechanisms linking 1D epigenetic landscapes to 3D chromatin folding remain unclear. Recent models represent chromatin as a spin system, where nucleosomes are treated as discrete-state variables coupled by interaction strengths derived from genomic and epigenetic data. Classical samplers struggle with these models due to high frustration and dense couplings. Here, we present a quantum annealing (QA) approach to efficiently sample chromatin states, embedding an epigenetic Ising model into the topology of D-Wave quantum processors. Rather than reconstructing exact TAD size distributions or insulation scores, our method reproduces statistical features, such as mean marker incidences and intra-/inter-nucleosome correlations, while generating configurations that exhibit TAD-like structural motifs. These results demonstrate QA as an alternative to explore the chromatin architecture and provide a foundation in epigenetic modeling.

Indexed as

ChromatinEpigenesis, GeneticNucleosomesQuantum TheoryChromatinNucleosomes

Identifiers

PMID42215647
PMCPMC13392026

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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.