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arXiv 2111.06337quant-ph
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量子门族的最优控制

Optimal control of families of quantum gates

Frederic Sauvage, Florian Mintert

摘要:

量子最优控制(QOC)可以实现精确的操作,如量子门,并支持量子技术的发展。到目前为止,已经开发了许多QOC框架,但这些框架仍然只适合于一次优化单个目标操作。我们将这一概念扩展到具有连续目标族的最优控制,并证明了基于神经网络的优化可以找到在最短时间内实现所需类别的量子门的时间依赖型哈密顿算子族。

英文摘要:

Quantum Optimal Control (QOC) enables the realization of accurate operations, such as quantum gates, and support 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 that realize desired classes of quantum gates in minimal time.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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