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Published on: May 30, 2014
Semi-Markov processes in open quantum systems. II. Counting statistics with resetting.
1School of Physics, Beihang University, Beijing 100083, China.
This study extends semi-Markov processes for open quantum systems to include resetting. New methods allow calculating quantum counting statistics even with resets and collapses, using survival distributions instead of quantum operators.
Area of Science:
- Quantum Physics
- Statistical Mechanics
- Quantum Optics
Background:
- Open quantum systems are typically analyzed using semi-Markov processes for counting statistics.
- The introduction of resetting phenomena complicates standard analysis due to non-Markovian behavior.
Purpose of the Study:
- To extend existing semi-Markov process methods for quantum counting statistics to systems with resetting.
- To develop a framework for calculating general counting statistics in open quantum systems subject to simultaneous resets and wave function collapses.
Main Methods:
- Extension of semi-Markov process to include resetting.
- Focus on quantum jump trajectories and probability formulas to construct statistics from reset-free data.
- Derivation of an exact tilted matrix equation.
- Introduction of a continuous-time cloning algorithm for simulating large-deviation properties.
Main Results:
- Quantum jump trajectories in resetting systems with collapses are no longer semi-Markov.
- General counting statistics can be constructed from reset-free statistics using trajectory analysis and probability formulas.
- Survival and waiting-time distributions serve as inputs, replacing quantum operators.
- The continuous-time cloning algorithm effectively simulates large-deviation properties.
Conclusions:
- The developed methods provide a robust way to analyze counting statistics in open quantum systems with resetting.
- The approach simplifies calculations by utilizing survival and waiting-time distributions.
- The study offers a new simulation tool for large-deviation properties in quantum systems.
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