Probability Currents in Quantum Thermal Machines
2017
- 49Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage49
- Abstract Views37
- Downloads12
Thesis / Dissertation Description
We present core ideas of quantum thermodynamics and a simple model of continuous quantum heat engines, relating their efficiency to the fundamental limit set by the Second Law. We apply a probability current analysis to these systems, allowing us to better understand their steady state behavior. Finally, we introduce a simple quantum mechanical model of Maxwell’s Demon—a system that extracts energy from a thermal reservoir at the cost of writing information to its memory—and analyze its behavior for a range of possible reservoir and memory tape parameters. We find that the information efficiency of our system is bounded by Landauer’s Principle and that it can approach this bound when its thermal reservoir and memory tape are nearly equally mixed.
Bibliographic Details
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