1998
DOI: 10.1103/physrevb.57.11684
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One-dimensional Mott localization of quantum vortices in Josephson-junction arrays

Abstract: The quantum transport of vortices in very long and narrow arrays of small Josephson junctions is studied experimentally. We investigate the forming of a Mott insulator in periodic arrays. When the vortex density is commensurate with the one-dimensional periodic potential, the vortices localize due to the strong repulsive vortex-vortex interaction. We explore the influence of interaction strength, bandwidth, sample geometry, and temperature on the stability of the Mott states. ͓S0163-1829͑98͒01018-2͔

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Cited by 12 publications
(22 citation statements)
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“…Our theory explains consistently the main experimental observations reported in this paper and in Ref. 9: ͑1͒ the cusplike dependence of the activation energy on the magnetic field in the commensurate phase; ͑2͒ the large value of this activation energy ͑compared to E J and E C ), and ͑3͒ oscillations of the resistance with the applied magnetic field, with a period corresponding to one flux quantum through the entire array, in the incommensurate phase. We conclude with a discussion in Sec.…”
Section: Introductionsupporting
confidence: 89%
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“…Our theory explains consistently the main experimental observations reported in this paper and in Ref. 9: ͑1͒ the cusplike dependence of the activation energy on the magnetic field in the commensurate phase; ͑2͒ the large value of this activation energy ͑compared to E J and E C ), and ͑3͒ oscillations of the resistance with the applied magnetic field, with a period corresponding to one flux quantum through the entire array, in the incommensurate phase. We conclude with a discussion in Sec.…”
Section: Introductionsupporting
confidence: 89%
“…Indeed, in the experiment a cusplike dependence of the resistance activation energy on ͉BϪB 0 ͉ was observed ͑see Ref. 9 and Sec. VI of this paper͒.…”
Section: Introductionmentioning
confidence: 82%
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“…Longer ranger interactions have been found to be important in experiments [7][8][9] . We now include nearestneighbor interactions by setting V = 0.4.…”
Section: Nearest-neighbor Interactionmentioning
confidence: 99%