Literature DB >> 21231005

Solvable model of quantum random optimization problems.

Laura Foini1, Guilhem Semerjian, Francesco Zamponi.   

Abstract

We study the quantum version of a simplified model of optimization problems, where quantum fluctuations are introduced by a transverse field acting on the qubits. We find a complex low-energy spectrum of the quantum Hamiltonian, characterized by an abrupt condensation transition and a continuum of level crossings as a function of the transverse field. We expect this complex structure to have deep consequences on the behavior of quantum algorithms attempting to find solutions to these problems.

Year:  2010        PMID: 21231005     DOI: 10.1103/PhysRevLett.105.167204

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Efficiency of quantum vs. classical annealing in nonconvex learning problems.

Authors:  Carlo Baldassi; Riccardo Zecchina
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-30       Impact factor: 11.205

  1 in total

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