Abstract:In this paper an invariant of motion for Hamiltonian systems is introduced: the Casimir companion. For systems with simple dynamical algebras (e.g., coupled spins, harmonic oscillators) our invariant is useful in problems that consider adiabatically varying the parameters in the Hamiltonian. In particular, it has proved useful in optimal control of changes in these parameters. The Casimir companion also allows simple calculation of the entropy of nonequilibrium ensembles.
“…Our goal is to find the frequency profile ω(t) which minimizes the final energy E(T ) = E c , maximizing thus the performance of the engine [3]. The von Neumann entropy of the system is a monotonically increasing function of the following quantity, called the Casimir companion [50] …”
Section: Quantum Otto Cycle With External Noisementioning
In this article we use optimal control to maximize the efficiency of a quantum heat engine executing the Otto cycle in the presence of external noise. We optimize the engine performance for both amplitude and phase noise. In the case of phase damping we additionally show that the ideal performance of a noiseless engine can be retrieved in the adiabatic (long time) limit. The results obtained here are useful in the quest for absolute zero, the design of quantum refrigerators that can cool a physical system to the lowest possible temperature. They can also be applied to the optimal control of a collection of classical harmonic oscillators sharing the same time-dependent frequency and subjected to similar noise mechanisms. Finally, our methodology can be used for the optimization of other interesting thermodynamic processes.
“…Our goal is to find the frequency profile ω(t) which minimizes the final energy E(T ) = E c , maximizing thus the performance of the engine [3]. The von Neumann entropy of the system is a monotonically increasing function of the following quantity, called the Casimir companion [50] …”
Section: Quantum Otto Cycle With External Noisementioning
In this article we use optimal control to maximize the efficiency of a quantum heat engine executing the Otto cycle in the presence of external noise. We optimize the engine performance for both amplitude and phase noise. In the case of phase damping we additionally show that the ideal performance of a noiseless engine can be retrieved in the adiabatic (long time) limit. The results obtained here are useful in the quest for absolute zero, the design of quantum refrigerators that can cool a physical system to the lowest possible temperature. They can also be applied to the optimal control of a collection of classical harmonic oscillators sharing the same time-dependent frequency and subjected to similar noise mechanisms. Finally, our methodology can be used for the optimization of other interesting thermodynamic processes.
“…which precisely correspond to Eqs (56)- (59). In these equations it is clear that there is a correspondence between the transformation parameters and the classical position and momentum.…”
“…The key element behind the Lie algebraic approach is that the general form of the evolution operator of such type of Hamiltonian can be expressed as [55][56][57][58][59] …”
We develop a Lie algebraic approach to systematically calculate the evolution operator of the generalized two-dimensional quadratic Hamiltonian with time-dependent coefficients. Although the development of the Lie algebraic approach presented here is mainly motivated by the two-dimensional quadratic Hamiltonian, it may be applied to investigate the evolution operators of any Hamiltonian having a dynamical algebra with a large number of elements. We illustrate the method by finding the propagator and the Heisenberg picture position and momentum operators for a two-dimensional charge subject to uniform and constant electro-magnetic fields.2
“…Here we highlight the most important points. For u 2 = 1, the starting point (1, 0) is an equilibrium point for system (24), (25), thus the candidate optimal trajectories (extremals) should start with u = u 1 . The solution of the transcendental equation in Theorem 2 from [7] is restricted in the interval 0 < s ≤ Min{(1 − u 1 ) 2 /4, (u 2 γ 2 − 1/γ 2 ) 2 /4}, which is simplified to 0 < s ≤ (1 − u 1 ) 2 /4 for the control bounds given in (27).…”
Section: Implications Of the Minimum-time Solutionmentioning
confidence: 99%
“…The physical intuition behind these "spiral" optimal solutions can be understood if Eqs. (24), (25) are interpreted as describing the onedimensional Newtonian motion of a unit mass particle, …”
Section: Implications Of the Minimum-time Solutionmentioning
In most studies for the quantification of the third thermodynamic law, the minimum temperature which can be achieved with a long but finite-time process scales as a negative power of the process duration. In this article, we use our recent complete solution for the optimal control problem of the quantum parametric oscillator to show that the minimum temperature which can be obtained in this system scales exponentially with the available time. The present work is expected to motivate further research in the active quest for absolute zero.
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