Evidence map›Paper›PMID 34764262›Full record

ArticleNature communications2021

SU(2) hadrons on a quantum computer via a variational approach.

Yasar Y Atas, Jinglei Zhang, Randy Lewis, Amin Jahanpour, Jan F Haase, Christine A Muschik

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Quantum simulation of lattice gauge theories in more than one space dimension-requirements, challenges and methods.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  7. 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

6 authors.

Yasar Y Atas *Institute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1. yyatas@uwaterloo.ca.
Jinglei Zhang *Institute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1. jingleizl@gmail.com.ORCID http://orcid.org/0000-0002-3100-7921
Randy LewisDepartment of Physics and Astronomy, York University, Toronto, ON, Canada, M3J 1P3.
Amin JahanpourInstitute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1.
Jan F HaaseInstitute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1. jan.frhaase@gmail.com.ORCID http://orcid.org/0000-0003-1126-8216
Christine A MuschikInstitute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum computers have the potential to create important new opportunities for ongoing essential research on gauge theories. They can provide simulations that are unattainable on classical computers such as sign-problem afflicted models or time evolutions. In this work, we variationally prepare the low-lying eigenstates of a non-Abelian gauge theory with dynamically coupled matter on a quantum computer. This enables the observation of hadrons and the calculation of their associated masses. The SU(2) gauge group considered here represents an important first step towards ultimately studying quantum chromodynamics, the theory that describes the properties of protons, neutrons and other hadrons. Our calculations on an IBM superconducting platform utilize a variational quantum eigensolver to study both meson and baryon states, hadrons which have never been seen in a non-Abelian simulation on a quantum computer. We develop a hybrid resource-efficient approach by combining classical and quantum computing, that not only allows the study of an SU(2) gauge theory with dynamical matter fields on present-day quantum hardware, but further lays out the premises for future quantum simulations that will address currently unanswered questions in particle and nuclear physics.

Identifiers

PMID34764262
PMCPMC8586147

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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.