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Universal resources for quantum approximate optimization algorithm and quantum annealing

Pablo Díez-Valle1,2,*, Fernando J. Gómez-Ruiz3,†, Diego Porras1,‡, and Juan José García-Ripoll1,§

  • 1Instituto de Física Fundamental IFF-CSIC, Calle Serrano 113b, 28006 Madrid, Spain
  • 2Instituto Tecnológico de Galicia, Cantón Grande 9, Planta 3, 15003 A Coruña, Spain
  • 3Departamento de Física, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Leganés, Spain

  • *Contact author: pvalle@itg.es
  • †Contact author: fegomezr@fis.uc3m.es
  • ‡Contact author: diego.porras@csic.es
  • §Contact author: juanjose.garcia.ripoll@csic.es

QAOA pseudo-Boltzmann sampling beyond the rapid-mixing regime on superconducting quantum computers

Feliks Kivelä, Pablo Díez-Valle, Juan José García-Ripoll, and Gheorghe Sorin Paraoanu

Quantum Sci. Technol. 11 045062 (2026)

Pilot-Wave Simulator: Exact Classical Sampling from Ideal and Noisy Quantum Circuits up to Hundreds of Qubits

Gleb Kalachev, Pavel Mosharev, Zuoheng Zou, Pavel Panteleev, and Man-Hong Yung

Quantum 10 2173 (2026)

Evaluating the limits of Quantum Approximate Optimization Algorithm parameter transfer at high rounds on sparse Ising models with geometrically local cubic terms

Elijah Pelofske, Marek M. Rams, Andreas Bärtschi, Piotr Czarnik, Paolo Braccia, Lukasz Cincio, and Stephan Eidenbenz

Phys. Rev. Research 8 023023 (2026)

Quantum annealing and condensed matter physics

V Kendon and N Chancellor

J. Phys.: Condens. Matter 38 143005 (2026)

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