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Optimal Control of Families of Quantum Gates
Physical Review Letters ( IF 8.6 ) Pub Date : 2022-07-29 , DOI: 10.1103/physrevlett.129.050507
Frédéric Sauvage 1, 2 , Florian Mintert 1
Affiliation  

Quantum optimal control (QOC) enables the realization of accurate operations, such as quantum gates, and supports the development of quantum technologies. To date, many QOC frameworks have been developed, but those remain only naturally suited to optimize a single targeted operation at a time. We extend this concept to optimal control with a continuous family of targets, and demonstrate that an optimization based on neural networks can find families of time-dependent Hamiltonians realizing desired classes of quantum gates in minimal time.

中文翻译:

量子门族的最优控制

量子最优控制(QOC)能够实现量子门等精确运算,并支持量子技术的发展。迄今为止,已经开发了许多 QOC 框架,但这些框架仍然只适合一次优化单个目标操作。我们将此概念扩展到具有连续目标族的最优控制,并证明基于神经网络的优化可以找到时间相关的哈密顿量族,在最短的时间内实现所需的量子门类别。
更新日期:2022-07-29
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