2012
DOI: 10.1209/0295-5075/99/40002
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Time-optimal processes for interacting spin systems

Abstract: Reversible adiabatic processes connecting thermal equilibrium states are usually considered to be infinitely slow. Recently, fast reversible adiabatic processes for quantum systems have been discussed. Here we present time-optimal processes for a paradigmatic ensemble of two interacting spin-1 2 systems in an external magnetic field, which previously had been employed as working fluid in a quantum refrigerator. These processes are realized by appropriate bang-bang or quasi-bang-bang controls of the external ma… Show more

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Cited by 11 publications
(27 citation statements)
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“…This possibility, which relies on special dynamical symmetries, has been termed shortcut to adiabaticity [32,[40][41][42][43][44]132]. The idea is to optimize the scheduling function, f (t), of the control,Ĥ C (t) =V C f (t), in such a way that in the shortest time, the frictionless transformation from an initial value of the control function to a final value is achieved.…”
Section: The Quantum and Thermodynamic Adiabatic Conditions And Quantmentioning
confidence: 99%
“…This possibility, which relies on special dynamical symmetries, has been termed shortcut to adiabaticity [32,[40][41][42][43][44]132]. The idea is to optimize the scheduling function, f (t), of the control,Ĥ C (t) =V C f (t), in such a way that in the shortest time, the frictionless transformation from an initial value of the control function to a final value is achieved.…”
Section: The Quantum and Thermodynamic Adiabatic Conditions And Quantmentioning
confidence: 99%
“…In order to have the same population in the beginning and at the end of the adiabatic evolution strokes a certain protocol must be applied. Using the optimal protocol in [19], the minimal time for the adiabatic step is proportional to…”
Section: A General Optimization Constraintmentioning
confidence: 99%
“…|Ec| (to simplify (24) in [19] we considered the limit ω f, ω i ≪ j). Thus, for the engine to operate at the minimal possible time (e.g to maximize the power) the constraint is…”
Section: A General Optimization Constraintmentioning
confidence: 99%
“…This leads to t P (A P ) which can then readily be inverted to obtain the originally desired result. The advantage of the second approach is that the ensuing control problem is very similar to the one solved in [19] to find the minimal time needed to extract the full reversible availability A P (t P = ∞) = A P (t FEAT ) = A FEAT .…”
Section: -P2mentioning
confidence: 99%