Evidence map›Paper›PMID 37976365›Full record

ArticleScience advances2023

Digital quantum simulation of NMR experiments.

Kushal Seetharam, Debopriyo Biswas, Crystal Noel, Andrew Risinger, Daiwei Zhu, Or Katz, Sambuddha Chattopadhyay, Marko Cetina, Christopher Monroe, Eugene Demler and 1 more

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Live magnetic observation of parahydrogen hyperpolarization dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. 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

11 authors.

Kushal SeetharamDepartment of Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-3159-8618
Debopriyo BiswasDepartment of Electrical and Computer Engineering, Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-2720-5279
Crystal NoelDepartment of Electrical and Computer Engineering, Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-2977-2747
Andrew RisingerJoint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0002-9770-5175
Daiwei ZhuJoint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-0019-256X
Or KatzDepartment of Electrical and Computer Engineering, Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-7634-1993
Sambuddha ChattopadhyayDepartment of Physics, Harvard University, Cambridge, MA 02138, USA.
Marko CetinaJoint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-1942-9977
Christopher MonroeDepartment of Electrical and Computer Engineering, Department of Physics, Duke Quantum Center, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-0551-3713
Eugene DemlerInstitute for Theoretical Physics, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0002-2499-632X
Dries SelsDepartment of Physics, New York University, New York, NY 10003, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulations of nuclear magnetic resonance (NMR) experiments can be an important tool for extracting information about molecular structure and optimizing experimental protocols but are often intractable on classical computers for large molecules such as proteins and for protocols such as zero-field NMR. We demonstrate the first quantum simulation of an NMR spectrum, computing the zero-field spectrum of the methyl group of acetonitrile using four qubits of a trapped-ion quantum computer. We reduce the sampling cost of the quantum simulation by an order of magnitude using compressed sensing techniques. We show how the intrinsic decoherence of NMR systems may enable the zero-field simulation of classically hard molecules on relatively near-term quantum hardware and discuss how the experimentally demonstrated quantum algorithm can be used to efficiently simulate scientifically and technologically relevant solid-state NMR experiments on more mature devices. Our work opens a practical application for quantum computation.

Identifiers

PMID37976365
PMCPMC10656062

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.