2014
DOI: 10.1007/s12648-014-0483-9
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Quantum annealing search of Ising spin glass ground state(s) with tunable transverse and longitudinal fields

Abstract: Here we first discuss briefly the quantum annealing technique. We then study the quantum annealing of Sherrington-Kirkpatrick spin glass model with the tuning of both transverse and longitudinal fields. Both the fields are time-dependent and vanish adiabatically at the same time, starting from high values. We solve, for rather small systems, the time-dependent Schrodinger equation of the total Hamiltonian by employing a numerical technique. At the end of annealing we obtain the final state having high overlap … Show more

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Cited by 9 publications
(13 citation statements)
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“…We believe, the numerical results reported here for the quantum SK model establishes the nature of the earlier conjectured [5] ergodicity in the model and its role in quantum annealing [6,7,16] of the SK model. It is also possible that the crossover region shrinks as N → ∞.…”
Section: Summary and Discussionsupporting
confidence: 87%
“…We believe, the numerical results reported here for the quantum SK model establishes the nature of the earlier conjectured [5] ergodicity in the model and its role in quantum annealing [6,7,16] of the SK model. It is also possible that the crossover region shrinks as N → ∞.…”
Section: Summary and Discussionsupporting
confidence: 87%
“…We discusss two applications of QA (see e.g., [28,14] for details). First we review the performance of QA annealing for the Sherrington-Kirkpatrick (SK) spin glass model.…”
Section: Some Examples Of Qamentioning
confidence: 99%
“…First we review the performance of QA annealing for the Sherrington-Kirkpatrick (SK) spin glass model. The classical SK model [2] is known to contain highly rugged energy landscape and QA seems to work here satisfactory [28]. Next we focus on the QA of kinetically constrained system (KCS).…”
Section: Some Examples Of Qamentioning
confidence: 99%
See 1 more Smart Citation
“…Para compreender eles, permitamos escrever uma função de custo Ep Ý Ñ x q que deseja-se optimizar como uma soma linear e quadrática de variáveis binárias x i (39,40), Fonte: RAJAK; CHAKRABARTI. (41) CQA essa dinâmica está vinculada tradicionalmente à relação entre a variação temporal do Hamiltoniano total e o gap entre o estado fundamental e excitado, a qual deve ser muito pequena, e é fundamentada pelo teorema adiabático, tal que o sucesso dessa técnica dependerá se é satisfeita a condição de adiabaticidade imposta por dito teorema. Portanto, permitamos entrar em detalhes nesse teorema essencial para o entendimento da CQA.…”
Section: Optimização Baseada Em Mecanismos Quânticosunclassified