Literature DB >> 30135527

Observation of topological phenomena in a programmable lattice of 1,800 qubits.

Andrew D King1, Juan Carrasquilla2, Jack Raymond3, Isil Ozfidan3, Evgeny Andriyash3, Andrew Berkley3, Mauricio Reis3, Trevor Lanting3, Richard Harris3, Fabio Altomare3, Kelly Boothby3, Paul I Bunyk3, Colin Enderud3, Alexandre Fréchette3, Emile Hoskinson3, Nicolas Ladizinsky3, Travis Oh3, Gabriel Poulin-Lamarre3, Christopher Rich3, Yuki Sato3, Anatoly Yu Smirnov3, Loren J Swenson3, Mark H Volkmann3, Jed Whittaker3, Jason Yao3, Eric Ladizinsky3, Mark W Johnson3, Jeremy Hilton3, Mohammad H Amin3,4.   

Abstract

The work of Berezinskii, Kosterlitz and Thouless in the 1970s1,2 revealed exotic phases of matter governed by the topological properties of low-dimensional materials such as thin films of superfluids and superconductors. A hallmark of this phenomenon is the appearance and interaction of vortices and antivortices in an angular degree of freedom-typified by the classical XY model-owing to thermal fluctuations. In the two-dimensional Ising model this angular degree of freedom is absent in the classical case, but with the addition of a transverse field it can emerge from the interplay between frustration and quantum fluctuations. Consequently, a Kosterlitz-Thouless phase transition has been predicted in the quantum system-the two-dimensional transverse-field Ising model-by theory and simulation3-5. Here we demonstrate a large-scale quantum simulation of this phenomenon in a network of 1,800 in situ programmable superconducting niobium flux qubits whose pairwise couplings are arranged in a fully frustrated square-octagonal lattice. Essential to the critical behaviour, we observe the emergence of a complex order parameter with continuous rotational symmetry, and the onset of quasi-long-range order as the system approaches a critical temperature. We describe and use a simple approach to statistical estimation with an annealing-based quantum processor that performs Monte Carlo sampling in a chain of reverse quantum annealing protocols. Observations are consistent with classical simulations across a range of Hamiltonian parameters. We anticipate that our approach of using a quantum processor as a programmable magnetic lattice will find widespread use in the simulation and development of exotic materials.

Entities:  

Year:  2018        PMID: 30135527     DOI: 10.1038/s41586-018-0410-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  10 in total

1.  A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer.

Authors:  Katsuhiro Endo; Yoshiki Matsuda; Shu Tanaka; Mayu Muramatsu
Journal:  Sci Rep       Date:  2022-06-24       Impact factor: 4.996

2.  Spin correlations of quantum spin liquid and quadrupole-ordered states of Tb2+x Ti2-x O7+y.

Authors:  Hiroaki Kadowaki; Mika Wakita; Björn Fåk; Jacques Ollivier; Seiko Ohira-Kawamura; Kenji Nakajima; Jeffrey W Lynn
Journal:  Phys Rev B       Date:  2019       Impact factor: 4.036

3.  A superconducting thermal switch with ultrahigh impedance for interfacing superconductors to semiconductors.

Authors:  A N McCaughan; V B Verma; S Buckley; J P Allmaras; A G Kozorezov; A N Tait; S W Nam; J M Shainline
Journal:  Nat Electron       Date:  2019

4.  Quantum simulation of 2D antiferromagnets with hundreds of Rydberg atoms.

Authors:  Pascal Scholl; Michael Schuler; Hannah J Williams; Alexander A Eberharter; Daniel Barredo; Kai-Niklas Schymik; Vincent Lienhard; Louis-Paul Henry; Thomas C Lang; Thierry Lahaye; Andreas M Läuchli; Antoine Browaeys
Journal:  Nature       Date:  2021-07-07       Impact factor: 49.962

5.  A quantum algorithm for evolving open quantum dynamics on quantum computing devices.

Authors:  Zixuan Hu; Rongxin Xia; Sabre Kais
Journal:  Sci Rep       Date:  2020-02-24       Impact factor: 4.379

6.  Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization.

Authors:  M R Mahmoodi; M Prezioso; D B Strukov
Journal:  Nat Commun       Date:  2019-11-08       Impact factor: 14.919

7.  Mass of Abrikosov vortex in high-temperature superconductor YBa[Formula: see text]Cu[Formula: see text]O[Formula: see text].

Authors:  Roman Tesař; Michal Šindler; Christelle Kadlec; Pavel Lipavský; Ladislav Skrbek; Jan Koláček
Journal:  Sci Rep       Date:  2021-11-05       Impact factor: 4.379

8.  Many-body localization enables iterative quantum optimization.

Authors:  Hanteng Wang; Hsiu-Chung Yeh; Alex Kamenev
Journal:  Nat Commun       Date:  2022-09-20       Impact factor: 17.694

9.  Localization Detection Based on Quantum Dynamics.

Authors:  Kazue Kudo
Journal:  Entropy (Basel)       Date:  2022-08-05       Impact factor: 2.738

10.  Quantum processor-inspired machine learning in the biomedical sciences.

Authors:  Richard Y Li; Sharvari Gujja; Sweta R Bajaj; Omar E Gamel; Nicholas Cilfone; Jeffrey R Gulcher; Daniel A Lidar; Thomas W Chittenden
Journal:  Patterns (N Y)       Date:  2021-04-28
  10 in total

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