Optimising finite-time quantum information engines using Pareto bounds
- URL: http://arxiv.org/abs/2507.00712v1
- Date: Tue, 01 Jul 2025 12:24:13 GMT
- Title: Optimising finite-time quantum information engines using Pareto bounds
- Authors: Rasmus Hagman, Jonas Berx, Janine Splettstoesser, Henning Kirchberg,
- Abstract summary: Information engines harness measurement and feedback to convert energy into useful work.<n>We investigate the fundamental trade-offs between ergotropic output power, thermodynamic efficiency and information-to-work conversion efficiency in such engines.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Information engines harness measurement and feedback to convert energy into useful work. In this study, we investigate the fundamental trade-offs between ergotropic output power, thermodynamic efficiency and information-to-work conversion efficiency in such engines, explicitly accounting for the finite time required for measurement. As a model engine, we consider a two-level quantum system from which work is extracted via a temporarily coupled quantum harmonic oscillator that serves as the measurement device. This quantum device is subsequently read out by a classical apparatus. We compute trade-offs for the performance of the information engine using Pareto optimisation, which has recently been successfully used to optimise performance in engineering and biological physics. Our results offer design principles for future experimental implementations of information engines, such as in nano-mechanical systems and circuit QED platforms.
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