Quantacell: powerful charging of quantum batteries
By F. Binder, Sai Vinjanampathy, Kavan Modi, John Goold. 2015
469 citations recorded by the source corpus.
We study the problem of charging a quantum battery in finite time. We demonstrate an analytical optimal protocol for the case of a single qubit. Extending this analysis to an array of N qubits, we demonstrate that an N-fold advantage in power per qubit can be achieved when global operations are permitted. The exemplary analytic argument for this quantum advantage in the charging power is backed up by numerical analysis using optimal control techniques. It is demonstrated that the quantum advantage for power holds when, with cyclic operation in mind, initial and final states are required to be separable.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/eb6d13d509c5f47ea275002f641b592b6e1f0219
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Steve Campbell
- Sebastian Deffner
- Sai Vinjanampathy
- Arnau Riera
- John Goold
- Maciej Lewenstein
- Janet Anders
- Marcus Huber
In Statistical and Nonlinear Physics
- Sebastian Deffner
- Steve Campbell
- Sai Vinjanampathy
- John Goold
- Janet Anders
- Marcus Huber
- Paul Skrzypczyk
Citations in the corpus
- The role of quantum information in thermodynamics—a topical review (2015, background): “In [156] it was demonstrated that if the work per unit time (power) is considered with cyclic operations in mind then a quantum advantage for charging power can be achieved.”
- Daemonic ergotropy: enhanced work extraction from quantum correlations (2016, unknown): “31”
- Quantum thermodynamics (2015, background): “The quantum speed limit places a limit on the power of quantum engines, and has been used to improve engine performance [180].”
- Bounds on the capacity and power of quantum batteries (2018, methodology): “Hence, the LMG model is a good example in which the normalization based approaches in previous works [2, 3] does not agree with the real scaling of the Hamiltonian.”
- Quantum speed limits: from Heisenberg’s uncertainty principle to optimal quantum control (2017, methodology): “In addition, similar techniques have been employed to optimally charge a quantum battery [110, 111].”