Quantum thermal machines and batteries
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 …
reversible heat engine and the celebrated second law of thermodynamics eventually …
[HTML][HTML] Quantum thermodynamic devices: From theoretical proposals to experimental reality
Thermodynamics originated in the need to understand novel technologies developed by the
Industrial Revolution. However, over the centuries, the description of engines, refrigerators …
Industrial Revolution. However, over the centuries, the description of engines, refrigerators …
Many-body quantum thermal machines
Thermodynamics of quantum systems and quantum thermal machines are rapidly
develo** fields, which have already delivered several promising results, as well as raised …
develo** fields, which have already delivered several promising results, as well as raised …
Identifying optimal cycles in quantum thermal machines with reinforcement-learning
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 …
improving existing quantum information processing technologies. We introduce a general …
Quantum signatures in the quantum Carnot cycle
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 …
efficiency, at the expense of a vanishing power output. Quantum Carnot-analog cycles are …
Many-body quantum heat engines with shortcuts to adiabaticity
Quantum heat engines are modeled by thermodynamic cycles with quantum-mechanical
working media. Since high engine efficiencies require adiabaticity, a major challenge is to …
working media. Since high engine efficiencies require adiabaticity, a major challenge is to …
Reinforcement learning approach to nonequilibrium quantum thermodynamics
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 …
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
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 …
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
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 …
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
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 …
quantum two-level system (TLS) driven by time-dependent periodic external fields acts as …