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Universal First-Passage-Time Distribution of Non-Gaussian Currents
Shilpi Singh1, Paul Menczel1, Dmitry S Golubev1
1QTF Centre of Excellence, Department of Applied Physics, Aalto University, 00076 Aalto, Finland.
Physical Review Letters
|July 13, 2019
Summary
We studied electron transport fluctuations in metallic islands, measuring first-passage times for charge transfer. Our findings align with theory and a new approximation for non-Gaussian statistics, applicable to various stochastic processes.
Area of Science:
- Mesoscopic physics
- Quantum transport
- Statistical mechanics
Background:
- Understanding charge transfer fluctuations is crucial for mesoscopic systems.
- First-passage time distributions characterize transport dynamics.
- Coulomb blockade regime offers a unique platform for studying electron transport.
Purpose of the Study:
- Investigate fluctuations in the time for electric charge to reach a threshold.
- Measure first-passage time distributions for electron transfer between metallic islands.
- Develop and validate a universal analytical approximation for these distributions.
Main Methods:
- Experimental measurement of first-passage times in the Coulomb blockade regime.
- Numerical calculations based on nonequilibrium stationary Markov process theory.
- Derivation and application of a simple analytical approximation for first-passage-time distributions.
Main Results:
- Experimental results show excellent agreement with numerical calculations and recent theory.
- A novel analytical approximation accurately describes non-Gaussian electron transport statistics.
- The approximation demonstrates high accuracy for experimental distributions and is universally applicable.
- Experimental verification of a fluctuation relation for first-passage-time distributions.
Conclusions:
- The study provides accurate experimental validation for theories of first-passage-time distributions in mesoscopic systems.
- A universal analytical approximation is presented, capturing non-Gaussian transport statistics effectively.
- This approximation extends beyond mesoscopic charge transport, offering broad applicability to stochastic processes.
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