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This paper introduces an efficient quantum control strategy for driving dissipative systems toward steady orbits, addressing the numerical prohibitions of traditional methods like GRAPE in infinite-loop scenarios. The proposed approach offers a distinct formalism from existing Floquet-Lindblad theories and is implemented within the Spinach library with favorable computational scaling. This advancement directly benefits applications requiring precise initialization of quantum devices, coherent oscillators, and precision metrology tools.
Quantum optimal control of steady orbits
arXiv:2606.15383v2 Announce Type: replace Abstract: Periodically driven dissipative systems can settle into steady orbits - fixed loops on their dynamical manifolds. In quantum mechanics, steady orbits occur in cooling engines (used to initialise quantum devices), coherent oscillators (such as lasers and masers), precision metrology devices (atomic clocks, optical and spin magnetometers), and magnetic resonance (steady state free precession, dynamic nuclear polarisation). Steady orbits and stroboscopic steady states are a promising target for quantum optimal control, but the numerical complexity is prohibitive: the infinite loop defeats gradient ascent pulse engineering (GRAPE) which relies on explicit numerical propagation in the time domain. Here we propose an efficient quantum control strategy for stroboscopic steady states and limit cycles that are approached asymptotically when a control sequence is repeated infinitely many times. The formalism is different from Floquet-Lindblad state engineering and effective Hamiltonian theories: it finds control sequences that drive a dissipative quantum system towards a steady orbit passing through user-specified waypoints. The software implementation (same numerical complexity scaling as GRAPE) is done for the Spinach library.
Abstract:Periodically driven dissipative systems can settle into steady orbits - fixed loops on their dynamical manifolds. In quantum mechanics, steady orbits occur in cooling engines (used to initialise quantum devices), coherent oscillators (such as lasers and masers), precision metrology devices (atomic clocks, optical and spin magnetometers), and magnetic resonance (steady state free precession, dynamic nuclear polarisation). Steady orbits and stroboscopic steady states are a promising target for quantum optimal control, but the numerical complexity is prohibitive: the infinite loop defeats gradient ascent pulse engineering (GRAPE) which relies on explicit numerical propagation in the time domain. Here we propose an efficient quantum control strategy for stroboscopic steady states and limit cycles that are approached asymptotically when a control sequence is repeated infinitely many times. The formalism is different from Floquet-Lindblad state engineering and effective Hamiltonian theories: it finds control sequences that drive a dissipative quantum system towards a steady orbit passing through user-specified waypoints. The software implementation (same numerical complexity scaling as GRAPE) is done for the Spinach library.
Quantum Physics (quant-ph); Mathematical Physics (math-ph); Chemical Physics (physics.chem-ph)
arXiv:2606.15383 [quant-ph]
(or arXiv:2606.15383v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2606.15383 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 266 words
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