Time-optimal control of a solid-state spin amidst dynamical quantum wind

IF 6.6 1区 物理与天体物理 Q1 PHYSICS, APPLIED npj Quantum Information Pub Date : 2024-11-05 DOI:10.1038/s41534-024-00912-y
Yang Dong, Wang Jiang, Xue-Dong Gao, Cui Yu, Yong Liu, Shao-Chun Zhang, Xiang-Dong Chen, Ibério de P. R. Moreira, Josep Maria Bofill, Gael Sentís, Ramón Ramos, Guillermo Albareda, Guang-Can Guo, Fang-Wen Sun
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Abstract

Time-optimal control holds promise across the full spectrum of quantum technologies, where the rapid generation of unitary gates and state transformations is crucial to mitigate decoherence effects. In practical scenarios, quantum systems are always immersed in an external time-dependent field or potential, either owing to the inevitable influence of the environment or as a sought-after effect for enhanced coherence. The challenge then lies in finding the time-optimal approach to navigate quantum systems amidst dynamical ambient Hamiltonians, a pursuit that has proven elusive thus far. We showcase the implementation of arbitrary quantum state transformations and a universal set of single-qubit gates under a background Landau-Zener Hamiltonian. Leveraging the favorable coherence properties of timedomain Rabi oscillations, we achieve velocities surpassing the Mandelstam-Tamm quantum speed limit and significantly lower energy costs than those incurred by conventional quantum control techniques. These findings highlight a promising pathway to expedite and economize high-fidelity quantum operations.

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动态量子风中固态自旋的时间优化控制
时间最优控制有望应用于所有量子技术领域,其中快速生成单元门和状态转换对于缓解退相干效应至关重要。在实际应用场景中,量子系统总是沉浸在与时间相关的外部场或势能中,这可能是由于环境不可避免的影响,也可能是为了增强相干性而追求的效果。因此,我们面临的挑战在于找到时间最优的方法,在动态环境哈密顿中导航量子系统。我们展示了在背景朗道-齐纳哈密顿下实现任意量子态变换和通用单量子比特门的方法。利用时域拉比振荡的有利相干特性,我们实现了超越曼德尔施塔姆-塔姆量子速度极限的速度,而且能量成本大大低于传统量子控制技术。这些发现凸显了加速和节约高保真量子操作的前景广阔的途径。
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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
期刊最新文献
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