2012
DOI: 10.1103/physrevlett.108.097003
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Distribution of Supercurrent Switching in Graphene under the Proximity Effect

Abstract: We study the stochastic nature of switching current in hysteretic current-voltage characteristics of superconductor-graphene-superconductor junctions. We find that the dispersion of the switching current distribution scales with temperature as σ(I) proportional to T(α(G)) with α(G) as low as 1/3. This observation is in sharp contrast to the known Josephson junction behavior where σ(I) proportional to T(α(J)) with α(J)=2/3. We propose an explanation using a generalized version of Kurkijärvi's theory for the flu… Show more

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Cited by 51 publications
(65 citation statements)
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“…As discussed in the supplementary material, the second scenario is more likely for most of the range studied here. Based on the measurements of the switching statistics [16,[24][25][26], in the following we will use the switching current to represent the true critical current of the junction, I C .In the hole-doped regime, the reflections of ballistic charge carriers from the n-doped contact interfaces yield the quantum ("Fabry-Perot") interference. A very similar oscillation pattern could be observed in the dependence of both the the normal conductance, G N , and the critical current I C on gate voltage V G (Figure 1c The critical current I C is observed to rapidly decrease with temperature, however the functional form of I C (T ) strongly depends on the length of the junction.…”
mentioning
confidence: 99%
“…As discussed in the supplementary material, the second scenario is more likely for most of the range studied here. Based on the measurements of the switching statistics [16,[24][25][26], in the following we will use the switching current to represent the true critical current of the junction, I C .In the hole-doped regime, the reflections of ballistic charge carriers from the n-doped contact interfaces yield the quantum ("Fabry-Perot") interference. A very similar oscillation pattern could be observed in the dependence of both the the normal conductance, G N , and the critical current I C on gate voltage V G (Figure 1c The critical current I C is observed to rapidly decrease with temperature, however the functional form of I C (T ) strongly depends on the length of the junction.…”
mentioning
confidence: 99%
“…The distribution of switching current probability P γsw (n/N ) is the quantity that can be promptly compared with experiments [1,[3][4][5][6][7] and it reproduces the qualitative features of macroscopic quantum tunnel in JJ: the appearance of a peak, or a most probable switching current when the potential energy is comparable to the quantum fluctuations [13]. For a detailed comparison with tunnel theory we consider the WKB approximation for the normalized rate Γ:…”
Section: B Switching Current Probability Distributionmentioning
confidence: 97%
“…Josephson Junctions (JJ) are a well established playground for macroscopic quantum tunneling [1][2][3][4][5][6][7] and a prominent field where the basic concepts of quantum mechanics have been successfully demonstrated in a mesoscopic system, with potential technological implications in quantum computing [8]. The subject is of interest per se as an application quantum dynamics to a macroscopic object (analogous, for example, to the particle-like dynamics of fluxons described by collective coordinates [2] or to the motion of the end masses of advanced gravitational wave detectors working near the quantum limit [9]) and to validate non ideal quantum measurements models [10].…”
Section: Introductionmentioning
confidence: 99%
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“…Experimental evidence of superconducting states in graphene, with coherent propagation of Cooper pairs, has been recently found [99][100][101]. Moreover, noise effects in the dynamical behavior of graphene JJs have been analyzed from experimental and theoretical point of view [97,100,[102][103][104]. In this section we study the transient dynamics of an underdamped superconductor−graphene−superconductor (SGS) junction, as the simultaneous action of an external driving force, oscillating with frequency ω, and a stochastic signal, which represents a random force of intensity γ, is taken into account.…”
Section: Short and Long Jjmentioning
confidence: 99%