Optimal work extraction in measurement-based quantum Otto engines: Non-adiabaticity and generalized measurements can be beneficial
Arunabha Das, Sayan Mondal, Debarupa Saha, and Ujjwal Sen

TL;DR
This paper explores how measurement-based quantum Otto engines can outperform traditional engines, especially when using optimized measurements and considering non-adiabatic regimes, offering new insights into quantum thermodynamics.
Contribution
It demonstrates that measurement-based quantum Otto engines can surpass conventional engines in specific regimes and highlights the benefits of POVM measurements and non-adiabatic processes.
Findings
POVM-based engines can extract more work than PVM-based ones.
Measurement-based engines can outperform traditional engines under certain conditions.
Non-adiabatic implementations can yield higher work and efficiency.
Abstract
Measurement-based quantum heat engines have attracted significant interest as alternatives to conventional thermal engines, as they replace the hot thermal reservoir with quantum measurements, thereby offering greater controllability and simpler implementation. Motivated by these advantages, we investigate a measurement-driven quantum Otto engine with a qubit working substance and study the optimal work extractable from such engines, including whether their performance can surpass that of conventional quantum Otto cycles. We analyze the engine in both the infinite-time (adiabatic) and finite-time (non-adiabatic) regimes, considering two distinct implementations obtained through optimization over all projection-valued measurements (PVMs) and over all two-outcome positive operator-valued measurements (POVMs). We show that measurement-based engines can outperform conventional quantum Otto…
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