From the 2 of 5 linked papers with an AI index.
5 papers · 1 filter
Pareto-optimal work extraction and the thermodynamic cost of precision in quantum information engines
Jonas Berx, Ted Olander, Henning Kirchberg
The paper analyzes a finite-time quantum information engine where a two‑level system is measured by a quantum harmonic oscillator, and extracts work conditionally on the measuremen…
Activating thermally charged quantum batteries in finite time: Thermodynamic trade-offs between correlations, work, and information
Bhaskar Barman, Janine Splettstoesser, Henning Kirchberg
The paper proposes a time‑dependent stirring protocol that activates thermally charged quantum batteries by coupling them to an auxiliary system, generating correlations and using…
Optimising finite-time quantum information engines using Pareto bounds
Rasmus Hagman, Jonas Berx, Janine Splettstoesser +1
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, t…
Quantum information engines: Bounds on performance metrics by measurement time
Henning Kirchberg, Abraham Nitzan
Information engines, sometimes referred to as Maxwell Demon engines, utilize information obtained through measurement to control the conversion of energy into useful work. Discussi…
Quantum Information Engines: Assessing Time, Cost and Performance Criteria
Henning Kirchberg, Abraham Nitzan
In this study, we investigate the crucial role of measurement time (), information gain and energy consumption in information engines (IEs) utilizing a von-Neumann measurement…