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Full counting statistics of electron transfer between superconductors.
1Department of Applied Physics and Delft Institute of Microelectronics and Submicrontechnology, Delft University of Technology, Lorentzweg 1, 2628 CJ Delft, The Netherlands.
Physical Review Letters
|November 3, 2001
Summary
We present a new method to calculate particle transmission in superconductors. This quantum method reveals measurable negative "probabilities" in supercurrent distributions for specific conditions.
Area of Science:
- Condensed Matter Physics
- Quantum Mechanics
- Mesoscopic Superconductivity
Background:
- The Keldysh-Green's function method is a powerful tool for studying quantum systems.
- Understanding particle transmission in mesoscopic superconductors is crucial for quantum electronics.
- Supercurrent statistics in short contacts require advanced theoretical frameworks.
Purpose of the Study:
- To extend the Keldysh-Green's function method for calculating particle transmission distributions in mesoscopic superconductors.
- To investigate the statistics of supercurrent in short superconducting contacts.
- To analyze the physical implications of negative probabilities in quantum measurements.
Main Methods:
- Extension of the Keldysh-Green's function formalism.
- Application to the analysis of supercurrent in short superconducting contacts.
- Investigation of Andreev bound state contributions to current.
Main Results:
- The extended method allows calculation of the full transmitted particle distribution.
- For supercurrent carried by Andreev bound states, a switching behavior between electron trains was observed.
- Negative "probabilities" were found in the supercurrent distribution for weak (gapless) superconductors at low temperatures.
Conclusions:
- The developed method provides a comprehensive approach to quantum transport in mesoscopic superconductors.
- The observed switching behavior is linked to the nature of Andreev bound states.
- Quantum mechanical considerations of the measurement device validate the measurability of negative probabilities, challenging classical intuition.