Finite-size criticality in fully connected spin models on superconducting quantum hardware

Michele Grossi, Oriel Kiss, Francesco De Luca, Carlo Zollo, Ian Gremese, and Antonio Mandarino
Phys. Rev. E 107, 024113 – Published 10 February 2023

Abstract

The emergence of a collective behavior in a many-body system is responsible for the quantum criticality separating different phases of matter. Interacting spin systems in a magnetic field offer a tantalizing opportunity to test different approaches to study quantum phase transitions. In this work, we exploit the new resources offered by quantum algorithms to detect the quantum critical behavior of fully connected spin-1/2 models. We define a suitable Hamiltonian depending on an internal anisotropy parameter γ that allows us to examine three paradigmatic examples of spin models, whose lattice is a fully connected graph. We propose a method based on variational algorithms run on superconducting transmon qubits to detect the critical behavior for systems of finite size. We evaluate the energy gap between the first excited state and the ground state, the magnetization along the easy axis of the system, and the spin-spin correlations. We finally report a discussion about the feasibility of scaling such approach on a real quantum device for a system having a dimension such that classical simulations start requiring significant resources.

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  • Received 4 August 2022
  • Accepted 17 January 2023

DOI:https://doi.org/10.1103/PhysRevE.107.024113

©2023 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsQuantum Information, Science & Technology

Authors & Affiliations

Michele Grossi1,*, Oriel Kiss1,2, Francesco De Luca3, Carlo Zollo3, Ian Gremese3, and Antonio Mandarino4,†

  • 1European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland
  • 2Department of Particle and Nuclear Physics, University of Geneva, 1211 Geneva, Switzerland
  • 3Department of Physics, University of Trieste, 34127 Trieste, Italy
  • 4International Centre for Theory of Quantum Technologies, University of Gdańsk, 80-309 Gdańsk, Poland

  • *michele.grossi@cern.ch
  • antonio.mandarino@ug.edu.pl

See Also

Quantum phase detection generalization from marginal quantum neural network models

Saverio Monaco, Oriel Kiss, Antonio Mandarino, Sofia Vallecorsa, and Michele Grossi
Phys. Rev. B 107, L081105 (2023)

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Vol. 107, Iss. 2 — February 2023

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