Quantum Information Engines: Assessing Time, Cost and Performance Criteria

2024/04/26 by Kirchberg, Henning, Nitzan, Abraham
#FOS: Physical sciences #Quantum Physics (quant-ph)

paper · doi:10.48550/arxiv.2404.17431

Abstract

In this study, we investigate the crucial role of measurement time (t_m), information gain and energy consumption in information engines (IEs) utilizing a von-Neumann measurement model. These important measurement parameters allow us to analyze the efficiency and power output of these devices. As the measurement time increases, the information gain and subsequently the extracted work also increase. However, there is a corresponding increase in the energetic cost. The efficiency of converting information into free energy diminishes as t_m approaches both 0 and infinity, peaking at intermediate values of t_m. The power output (work extracted per times) also reaches a maximum at specific operational time regimes. By considering the product of efficiency and power as a performance metric, we can identify the optimal operating conditions for the IE.

Related

• Quantum information engines: Bounds on performance metrics by measurement time
• Optimising finite-time quantum information engines using Pareto bounds
• Pareto-optimal work extraction and the thermodynamic cost of precision in quantum information engines
• Power-efficiency-stability trade-off in quantum information engines
• Rapid optimal work extraction from a quantum-dot information engine