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arXiv 1406.4101quant-ph
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自导引量子层析成像

Self-guided quantum tomography

Christopher Ferrie

摘要:

我们介绍了一种自我学习的断层技术,在该技术中,实验引导自己估计自己的状态。自导引量子层析成像(SGQT)使用测量直接测试迭代算法中的假设,该算法收敛到真实状态。我们通过对许多量子比特的模拟证明,SGQT是一种更有效和更鲁棒的替代方案,可以采用大量信息完整的数据并解决后处理状态估计的逆问题。

英文摘要:

We introduce a self-learning tomographic technique in which the experiment guides itself to an estimate of its own state. Self-guided quantum tomography (SGQT) uses measurements to directly test hypotheses in an iterative algorithm which converges to the true state. We demonstrate through simulation on many qubits that SGQT is a more efficient and robust alternative to the usual paradigm of taking a large amount of informationally complete data and solving the inverse problem of post-processed state estimation.

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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