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Optimal Protocols in Quantum Annealing and Quantum Approximate Optimization Algorithm Problems.
Brady, Lucas T; Baldwin, Christopher L; Bapat, Aniruddha; Kharkov, Yaroslav; Gorshkov, Alexey V.
Afiliação
  • Brady LT; Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland 20742, USA.
  • Baldwin CL; Joint Quantum Institute, NIST/University of Maryland, College Park, Maryland 20742, USA.
  • Bapat A; Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland 20742, USA.
  • Kharkov Y; Joint Quantum Institute, NIST/University of Maryland, College Park, Maryland 20742, USA.
  • Gorshkov AV; Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland 20742, USA.
Phys Rev Lett ; 126(7): 070505, 2021 Feb 19.
Article em En | MEDLINE | ID: mdl-33666474
ABSTRACT
Quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA) are two special cases of the following control

problem:

apply a combination of two Hamiltonians to minimize the energy of a quantum state. Which is more effective has remained unclear. Here we analytically apply the framework of optimal control theory to show that generically, given a fixed amount of time, the optimal procedure has the pulsed (or "bang-bang") structure of QAOA at the beginning and end but can have a smooth annealing structure in between. This is in contrast to previous works which have suggested that bang-bang (i.e., QAOA) protocols are ideal. To support this theoretical work, we carry out simulations of various transverse field Ising models, demonstrating that bang-anneal-bang protocols are more common. The general features identified here provide guideposts for the nascent experimental implementations of quantum optimization algorithms.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Rev Lett Ano de publicação: 2021 Tipo de documento: Article