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Daemonic Ergotropy: Generalised Measurements and Multipartite Settings
Fabian Bernards1, Matthias Kleinmann1, Otfried Gühne1
1Naturwissenschaftlich-Technische Fakultät, Universität Siegen, Walter-Flex-Straße 3, 57068 Siegen, Germany.
Entropy (Basel, Switzerland)
|December 3, 2020
Summary
Quantum correlations do not enhance energy extraction via projective measurements. Generalized measurements and a see-saw algorithm reveal potential for higher daemonic ergotropy, especially in multipartite systems.
Area of Science:
- Quantum thermodynamics
- Quantum information theory
- Quantum correlations
Background:
- Daemonic ergotropy quantifies maximum energy from quantum systems via ancilla-assisted work extraction using projective measurements.
- Previous work focused on projective measurements, limiting the scope of energy extraction analysis.
Purpose of the Study:
- To investigate the role of quantum correlations in energy extraction beyond projective measurements.
- To extend the concept of daemonic ergotropy to generalized measurements.
- To develop a method for optimizing work extraction and explore multipartite systems.
Main Methods:
- Theoretical analysis of quantum work extraction protocols.
- Inclusion of generalized quantum measurements.
- Development of a see-saw algorithm for measurement optimization.
- Formulation of a generalized daemonic ergotropy for multipartite systems.
Main Results:
- Quantum correlations offer no advantage over classical correlations for projective measurements.
- Generalized measurements can lead to higher daemonic ergotropy than previously defined.
- A see-saw algorithm effectively finds measurements for maximum work extraction.
- A generalized daemonic ergotropy highlights the impact of multipartite quantum correlations.
Conclusions:
- The advantage of quantum correlations in work extraction is measurement-dependent.
- Generalized measurements unlock greater potential for energy extraction from quantum systems.
- Multipartite quantum correlations play a crucial role in advanced work extraction protocols.
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