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Realizing the classical XY Hamiltonian in polariton simulators

Overview of attention for article published in Nature Materials, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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22 news outlets
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3 blogs
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8 X users
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2 patents
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5 Facebook pages

Citations

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258 Dimensions

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174 Mendeley
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Title
Realizing the classical XY Hamiltonian in polariton simulators
Published in
Nature Materials, September 2017
DOI 10.1038/nmat4971
Pubmed ID
Authors

Natalia G. Berloff, Matteo Silva, Kirill Kalinin, Alexis Askitopoulos, Julian D. Töpfer, Pasquale Cilibrizzi, Wolfgang Langbein, Pavlos G. Lagoudakis

Abstract

The vast majority of real-life optimization problems with a large number of degrees of freedom are intractable by classical computers, since their complexity grows exponentially fast with the number of variables. Many of these problems can be mapped into classical spin models, such as the Ising, the XY or the Heisenberg models, so that optimization problems are reduced to finding the global minimum of spin models. Here, we propose and investigate the potential of polariton graphs as an efficient analogue simulator for finding the global minimum of the XY model. By imprinting polariton condensate lattices of bespoke geometries we show that we can engineer various coupling strengths between the lattice sites and read out the result of the global minimization through the relative phases. Besides solving optimization problems, polariton graphs can simulate a large variety of systems undergoing the U(1) symmetry-breaking transition. We realize various magnetic phases, such as ferromagnetic, anti-ferromagnetic, and frustrated spin configurations on a linear chain, the unit cells of square and triangular lattices, a disordered graph, and demonstrate the potential for size scalability on an extended square lattice of 45 coherently coupled polariton condensates. Our results provide a route to study unconventional superfluids, spin liquids, Berezinskii-Kosterlitz-Thouless phase transition, and classical magnetism, among the many systems that are described by the XY Hamiltonian.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Unknown 172 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 30 17%
Student > Master 17 10%
Professor 12 7%
Student > Doctoral Student 9 5%
Other 19 11%
Unknown 36 21%
Readers by discipline Count As %
Physics and Astronomy 98 56%
Chemistry 9 5%
Engineering 9 5%
Materials Science 8 5%
Computer Science 2 1%
Other 5 3%
Unknown 43 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 185. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2023.
All research outputs
#213,694
of 25,305,422 outputs
Outputs from Nature Materials
#116
of 4,341 outputs
Outputs of similar age
#4,392
of 326,636 outputs
Outputs of similar age from Nature Materials
#4
of 57 outputs
Altmetric has tracked 25,305,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.