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Steering quantum dynamics via bang-bang control: Implementing optimal fixed-point quantum search algorithm

机译:通过爆炸控制控制量子动力学:实现最佳定点量子搜索算法

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摘要

A robust control over quantum dynamics is of paramount importance for quantum technologies. Many of the existing control techniques are based on smooth Hamiltonian modulations involving repeated calculations of basic unitaries resulting in time complexities scaling rapidly with the length of the control sequence. Here we show that bang-bang controls need one-time calculation of basic unitaries and hence scale much more efficiently. By employing a global optimization routine such as the genetic algorithm, it is possible to synthesize not only highly intricate unitaries, but also certain nonunitary operations. We demonstrate the unitary control through the implementation of the optimal fixed-point quantum search algorithm in a three-qubit nuclear magnetic resonance (NMR) system. Moreover, by combining the bang-bang pulses with the crusher gradients, we also demonstrate nonunitary transformations of thermal equilibrium states into effective pure states in three-as well as five-qubit NMR systems.
机译:对量子动力学的鲁棒控制对于量子技术至关重要。许多现有的控制技术是基于平滑哈密顿调制的,该调制涉及对基本repeated的重复计算,从而导致时间复杂度随控制序列的长度迅速缩放。在这里,我们证明了Bang-bang控件需要一次性计算基本unit,因此可以更高效地进行缩放。通过采用诸如遗传算法之类的全局优化例程,不仅可以合成高度复杂的unit,而且可以合成某些非unit运算。我们通过在三量子位核磁共振(NMR)系统中实现最佳定点量子搜索算法来演示统一控制。此外,通过结合爆炸脉冲与破碎机梯度,我们还证明了在三以及五量子位NMR系统中热平衡态向有效纯态的非unit变。

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