Quantum thermal machines and batteries

S Bhattacharjee, A Dutta - The European Physical Journal B, 2021 - Springer
The seminal work by Sadi Carnot in the early nineteenth century provided the blueprint of a
reversible heat engine and the celebrated second law of thermodynamics eventually …

[HTML][HTML] Quantum thermodynamic devices: From theoretical proposals to experimental reality

NM Myers, O Abah, S Deffner - AVS quantum science, 2022 - pubs.aip.org
Thermodynamics originated in the need to understand novel technologies developed by the
Industrial Revolution. However, over the centuries, the description of engines, refrigerators …

Many-body quantum thermal machines

V Mukherjee, U Divakaran - Journal of Physics: Condensed …, 2021 - iopscience.iop.org
Thermodynamics of quantum systems and quantum thermal machines are rapidly
develo** fields, which have already delivered several promising results, as well as raised …

Identifying optimal cycles in quantum thermal machines with reinforcement-learning

PA Erdman, F Noé - npj Quantum Information, 2022 - nature.com
The optimal control of open quantum systems is a challenging task but has a key role in
improving existing quantum information processing technologies. We introduce a general …

Quantum signatures in the quantum Carnot cycle

R Dann, R Kosloff - New Journal of Physics, 2020 - iopscience.iop.org
The Carnot cycle combines reversible isothermal and adiabatic strokes to obtain optimal
efficiency, at the expense of a vanishing power output. Quantum Carnot-analog cycles are …

Many-body quantum heat engines with shortcuts to adiabaticity

A Hartmann, V Mukherjee, W Niedenzu… - Physical Review …, 2020 - APS
Quantum heat engines are modeled by thermodynamic cycles with quantum-mechanical
working media. Since high engine efficiencies require adiabaticity, a major challenge is to …

Reinforcement learning approach to nonequilibrium quantum thermodynamics

S Sgroi, GM Palma, M Paternostro - Physical Review Letters, 2021 - APS
We use a reinforcement learning approach to reduce entropy production in a closed
quantum system brought out of equilibrium. Our strategy makes use of an external control …

Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learning

PA Erdman, F Noé - PNAS nexus, 2023 - academic.oup.com
A quantum thermal machine is an open quantum system that enables the conversion
between heat and work at the micro or nano-scale. Optimally controlling such out-of …

Maximum power and corresponding efficiency for two-level heat engines and refrigerators: optimality of fast cycles

PA Erdman, V Cavina, R Fazio, F Taddei… - New Journal of …, 2019 - iopscience.iop.org
We study how to achieve the ultimate power in the simplest, yet non-trivial, model of a
thermal machine, namely a two-level quantum system coupled to two thermal baths. Without …

Violation of thermodynamics uncertainty relations in a periodically driven work-to-work converter from weak to strong dissipation

LM Cangemi, V Cataudella, G Benenti, M Sassetti… - Physical Review B, 2020 - APS
We study a model of an isothermal steady-state work-to-work converter, where a single
quantum two-level system (TLS) driven by time-dependent periodic external fields acts as …