Evidence map›Paper›PMID 36216839›Full record

ArticleNature communications2022

Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer.

James Dborin, Vinul Wimalaweera, F Barratt, Eric Ostby, Thomas E O'Brien, A G Green

Abstract read
In one paragraph

Article in Nature communications, 2022. 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Tensor-based quantum phase difference estimation for large-scale demonstration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. 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.

James DborinLondon Centre for Nanotechnology, University College London, Gordon St., London, WC1H 0AH, UK.ORCID http://orcid.org/0000-0002-5826-2359
Vinul WimalaweeraLondon Centre for Nanotechnology, University College London, Gordon St., London, WC1H 0AH, UK.
F BarrattDepartment of Physics, University of Massachusetts, Amherst, MA, 01003, USA.
Eric OstbyGoogle Quantum AI, 80636, Munich, Germany.
Thomas E O'BrienGoogle Quantum AI, 80636, Munich, Germany.
A G GreenLondon Centre for Nanotechnology, University College London, Gordon St., London, WC1H 0AH, UK. andrew.green@ucl.ac.uk.ORCID http://orcid.org/0000-0002-3923-5291

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/S005021/1.
6 · The paper itself

Abstract

The phenomena of quantum criticality underlie many novel collective phenomena found in condensed matter systems. They present a challenge for classical and quantum simulation, in part because of diverging correlation lengths and consequently strong finite-size effects. Tensor network techniques that work directly in the thermodynamic limit can negotiate some of these difficulties. Here, we optimise a translationally invariant, sequential quantum circuit on a superconducting quantum device to simulate the groundstate of the quantum Ising model through its quantum critical point. We further demonstrate how the dynamical quantum critical point found in quenches of this model across its quantum critical point can be simulated. Our approach avoids finite-size scaling effects by using sequential quantum circuits inspired by infinite matrix product states. We provide efficient circuits and a variety of error mitigation strategies to implement, optimise and time-evolve these states.

Identifiers

PMID36216839
PMCPMC9550817

What OpenQuestion holds

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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.