Harnessing subspace controllability: Time-optimal Dicke-state generation in Heisenberg-coupled qubit arrays with a single local control
Vladimir M. Stojanovic, Tommaso Calarco, Andrea Muratori
TL;DR
The paper investigates time-optimal generation of Dicke states $|D^{N}_{a}\rangle$ in linear qubit arrays with isotropic Heisenberg coupling under a single local $Z$ control. By leveraging subspace controllability on each fixed-$a$ excitation subspace and employing the dCRAB quantum optimal-control algorithm, it achieves high-fidelity Dicke-state preparation for $N\le 9$ qubits, with the minimal time $T_{\min}$ scaling approximately as $N^2$. The method uses smooth control pulses expanded in a truncated random Fourier basis and demonstrates robustness to control-field deviations, while providing explicit scaling trends (e.g., $T_{\min}(N) \approx 0.14 N^{2.17}$ for $|D^{N}_2\rangle$ and $0.12 N^{2.02}$ for $|W_N\rangle$). These results highlight the practicality of minimal-resource, analog control for generating highly entangled states in realistic quantum devices and motivate experimental exploration.
Abstract
We explore the feasibility of realizing Dicke states in qubit arrays with always-on isotropic Heisenberg coupling between adjacent qubits, assuming a single Zeeman-type control acting in the $z$ direction on an actuator qubit. The Lie-algebraic criteria of controllability imply that such an array is not completely controllable, but satisfies the conditions for subspace controllability on any subspace with a fixed number of excitations. Therefore, a qubit array described by the model under consideration is state-to-state controllable for an arbitrary choice of initial and final states that have the same Hamming weight. This limited controllability is exploited here for the time-optimal dynamical generation of an $a$-excitation Dicke state $|D^{N}_{a}\rangle$ ($a=1,2,\ldots, N-1$) in a linear array with $N$ qubits starting from a generic Hamming-weight-$a$ product state. To dynamically generate the desired Dicke states -- including $W$ states $|W_{N}\rangle$ as their special ($a=1$) case -- in the shortest possible time with a single local $Z$ control, we employ an optimal-control scheme based on the dressed Chopped RAndom Basis (dCRAB) algorithm. We optimize the target-state fidelity over the expansion coefficients of smoothly-varying control fields in a truncated random Fourier basis; this is done by combining Nelder-Mead-type local optimizations with the multistart-based clustering algorithm that facilitates searches for global extrema. In this manner, we obtain the optimal control fields for Dicke-state preparation in arrays with up to $N=9$ qubits. Based on our numerical results, we find that the shortest possible state-preparation times scale quadratically with $N$. Finally, we demonstrate the robustness of our control scheme against small control-field deviations from the optimal values.
