Abstract:We derive a stochastic path integral representation of counting statistics in semi-classical systems. The formalism is introduced on the simple case of a single chaotic cavity with two quantum point contacts, and then further generalized to find the propagator for charge distributions with an arbitrary number of counting fields and generalized charges. The counting statistics is given by the saddle point approximation to the path integral, and fluctuations around the saddle point are suppressed in the semi-cla… Show more
“…We will be interested in the full counting statistics (FCS) of charge transfer through the junction, i.e., the probability distribution P t0 (N ) for N charge quanta to be transmitted within measurement time t 0 [31,32,33]. In addition to the noise characteristic, proportional to the second cumulant, this distribution will also supply us with higher, non-Gaussian cumulants such as they occur in RTN.…”
Intrinsic noise is known to be ubiquitous in Josephson junctions. We investigate a voltage biased superconducting tunnel junction including a very small number of pinholes -transport channels possessing a transmission coefficient close to unity. Although few of these pinholes contribute very little to the conductance, they can dominate current fluctuations in the low-voltage regime. We show that even fully transparent transport channels between superconductors contribute to shot noise due to the uncertainty in the number of Andreev cycles. We discuss shot noise enhancement by Multiple Andreev Reflection in such a junction and investigate whether pinholes might contribute as a microscopic mechanism of two-level current fluctuators. We discuss the connection of these results to the junction resonators observed in Josephson phase qubits.
“…We will be interested in the full counting statistics (FCS) of charge transfer through the junction, i.e., the probability distribution P t0 (N ) for N charge quanta to be transmitted within measurement time t 0 [31,32,33]. In addition to the noise characteristic, proportional to the second cumulant, this distribution will also supply us with higher, non-Gaussian cumulants such as they occur in RTN.…”
Intrinsic noise is known to be ubiquitous in Josephson junctions. We investigate a voltage biased superconducting tunnel junction including a very small number of pinholes -transport channels possessing a transmission coefficient close to unity. Although few of these pinholes contribute very little to the conductance, they can dominate current fluctuations in the low-voltage regime. We show that even fully transparent transport channels between superconductors contribute to shot noise due to the uncertainty in the number of Andreev cycles. We discuss shot noise enhancement by Multiple Andreev Reflection in such a junction and investigate whether pinholes might contribute as a microscopic mechanism of two-level current fluctuators. We discuss the connection of these results to the junction resonators observed in Josephson phase qubits.
“…44 In the present paper we adopt a simpler approximation which captures the relevant physics. [15][16][17][18][19][20][21] This approach relies on the existence of two distinct time scales. The faster one pertains to the traveling time of each electron through the conductor and the subsequent relaxation in any of the electrodes.…”
Section: B Stochastic Treatment Of the Probe Energymentioning
confidence: 99%
“…(23), we adopt the saddle-point approximation, 15 for which δS/δ(iλ P (t)) = δS/δE(t) = 0, and consequentlẏ…”
Section: The Steady Statementioning
confidence: 99%
“…For example, the rapid flow of electrons in and out of a voltage-probing electrode results in much slower charge fluctuations there, thus allowing for a stochastic path-integration of the CGF of the full setup (e.g., a three-terminal one) over all configurations of the probe charge, to obtain the reduced CGF of the physical setup (e.g., a two-terminal one). [15][16][17][18] A similar treatment has been carried out for the stochastic temperature and chemical potential fluctuations in an overheated metallic island. [19][20][21] However, to the best of our knowledge there are no studies of the fluctuation theorem (FT) [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38] in systems coupled to thermal probes.…”
Section: Introductionmentioning
confidence: 99%
“…In order to map the three-terminal junction of Fig. 1 onto the effective two-terminal one we adopt the stochastic path-integral formalism, [15][16][17][18] originally devised for describing electric conduction through a chaotic cavity. We analyze the FT pertaining to the resulting effective two-terminal setup.…”
We analyze the full-counting statistics of the electric heat current flowing in a two-terminal quantum conductor whose temperature is probed by a third electrode ("probe electrode"). In particular we demonstrate that the cumulant-generating function obeys the fluctuation theorem in the presence of a constant magnetic field. The analysis is based on the scattering matrix of the three-terminal junction (comprising of the two electronic terminals and the probe electrode), and a separation of time scales: it is assumed that the rapid charge transfer across the conductor and the rapid relaxation of the electrons inside the probe electrode give rise to much slower energy fluctuations in the latter. This separation allows for a stochastic treatment of the probe dynamics, and the reduction of the three-terminal setup to an effective two-terminal one. Expressions for the lowest nonlinear transport coefficients, e.g., the linear-response heat-current noise and the second nonlinear thermal conductance, are obtained and explicitly shown to preserve the symmetry of the fluctuation theorem for the two-terminal conductor. The derivation of our expressions which is based on the transport coefficients of the three-terminal system explicitly satisfying the fluctuation theorem, requires the full calculations of vertex corrections.
This paper describes the relationship between the statistics of bed load transport flux and the timescale over which it is sampled. A stochastic formulation is developed for the probability distribution function of bed load transport flux, based on the Ancey et al. (2008) theory. An analytical solution for the variance of bed load transport flux over differing sampling timescales is presented. The solution demonstrates that the timescale dependence of the variance of bed load transport flux reduces to a three-regime relation demarcated by an intermittency timescale (t I ) and a memory timescale (t c ). As the sampling timescale increases, this variance passes through an intermittent stage (≪t I ), an invariant stage (t I < t < t c ), and a memoryless stage (≫ t c ). We propose a dimensionless number (Ra) to represent the relative strength of fluctuation, which provides a common ground for comparison of fluctuation strength among different experiments, as well as different sampling timescales for each experiment. Our analysis indicates that correlated motion and the discrete nature of bed load particles are responsible for this three-regime behavior. We use the data from three experiments with high temporal resolution of bed load transport flux to validate the proposed three-regime behavior. The theoretical solution for the variance agrees well with all three sets of experimental data. Our findings contribute to the understanding of the observed fluctuations of bed load transport flux over monosize/multiple-size grain beds, to the characterization of an inherent connection between short-term measurements and long-term statistics, and to the design of appropriate sampling strategies for bed load transport flux.
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