Evidence map›Paper›PMID 40301323›Full record

ArticleNature communications2025

Quantum simulation of spin-boson models with structured bath.

Ke Sun, Mingyu Kang, Hanggai Nuomin, George Schwartz, David N Beratan, Kenneth R Brown, Jungsang Kim

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics.The journal of physical chemistry. A · 2025
    Review
  6. Article
  7. High-Frequency Tails in Spectral Densities.The journal of physical chemistry. A · 2025
    Article
  8. 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

7 authors.

Ke Sun *Duke Quantum Center, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-8311-9909
Mingyu Kang *Duke Quantum Center, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-3032-8448
Hanggai NuominDepartment of Chemistry, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-2917-420X
George SchwartzDuke Quantum Center, Duke University, Durham, NC, USA.
David N BeratanDepartment of Physics, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-4758-8676
Kenneth R BrownDuke Quantum Center, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0001-7716-1425
Jungsang KimDuke Quantum Center, Duke University, Durham, NC, USA. jungsang@duke.edu.ORCID http://orcid.org/0000-0001-9551-3826

Funding

National Science Foundation (NSF) OMA-2120757ODNI | Intelligence Advanced Research Projects Activity (IARPA) W911NF-16-1-0082U.S. Department of Energy (DOE) AC02-05CH11231U.S. Department of Energy (DOE) DE-SC0019400
6 · The paper itself

Abstract

The spin-boson model, involving spins interacting with a bath of quantum harmonic oscillators, is a widely used representation of open quantum systems that describe many dissipative processes in physical, chemical and biological systems. Trapped ions present an ideal platform for simulating the quantum dynamics of such models, by accessing both the high-quality internal qubit states and the motional modes of the ions for spins and bosons, respectively. We demonstrate a fully programmable method to simulate dissipative dynamics of spin-boson models using a chain of trapped ions, where the initial temperature and the spectral densities of the boson bath are engineered by controlling the state of the motional modes and their coupling with qubit states. Our method provides a versatile and precise experimental tool for studying open quantum systems.

Identifiers

PMID40301323
PMCPMC12041378

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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.