This analysis finds a trade-off between power and efficiency in work extraction from closed quantum systems, suggesting optimal protocols are feasible.
Extracting useful work from quantum systems is a fundamental problem in quantum thermodynamics. In scenarios where rapid protocols are desired -- whether due to practical constraints or deliberate design choices -- a fundamental trade-off between power and efficiency emerges as a key concern. Here, we investigate the problem of finite-time optimal work extraction from closed quantum systems, subject to a constraint on the magnitude of the control Hamiltonian. We first establish the trade-off relation between power and work under a general setup, stating that these fundamental performance metrics cannot be maximized simultaneously. Next, we introduce a framework of Lie-algebraic control, which involves a wide range of control problems including many-body control of the Heisenberg model and the SU(n)-Hubbard model. Within this framework, the optimal work extraction protocol becomes remarkably simple: it suffices to use a time-independent Hamiltonian, which is determined by a nonlinear self-consistent equation. We obtain an analytical solution for su(2) control, and a numerical solution for more complex cases like su(n) control using the steepest gradient descent method. Moreover, by exploiting the Lie-algebraic structure of the controllable terms, our approach is applicable to quantum many-body systems, enabling an efficient numerical computation. Our results highlight the necessity of rapid protocols to achieve the maximum power and establish a theoretical framework for designing optimal work extraction protocols under realistic time constraints.
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Sugimoto et al. (2025) studied this question.
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