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International Conference on Quantum Computing and Engineering最新文献

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Message from the Chairs 主席致辞
Pub Date : 2023-09-17 DOI: 10.1109/qce57702.2023.20313
Brian La Cour, Lia Yeh, Marek Osinski
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引用次数: 0
Message from the Chairs: 2023 IEEE International Conference on Quantum Computing and Engineering 主席致辞:2023 年电气和电子工程师学会量子计算与工程国际会议
Pub Date : 2023-09-17 DOI: 10.1109/qce57702.2023.20312
H. Müller, Yuri Alexev, Andrea Delgado, Greg Byrd
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引用次数: 0
Iterative quantum phase estimation with optimized sample complexity 优化样本复杂度的迭代量子相位估计
Pub Date : 2020-10-01 DOI: 10.1109/QCE49297.2020.00011
E. Berg
In this work we consider Kitaev's algorithm for quantum phase estimation. We analyze the use of phase shifts that simplify the estimation of successive bits in the estimation of unknown phase φ, By using increasingly accurate shifts we reduce the number of measurements to the point where only a single measurement is needed for each additional bit. This results in an algorithm that can estimate φ to $m$ + 2 bits of accuracy with probability at least 1- ∊ using $N$ ∊ + $m$ measurements, where $N$ ∊ is a quantity that depends only on ∊ and the particular sampling algorithm. We present different sampling algorithms and study the exact number of measurements needed through careful numerical evaluation, and provide theoretical bounds and numerical values for $N$ ∊ .
在这项工作中,我们考虑Kitaev的量子相位估计算法。我们分析了相移的使用,它简化了对未知相位φ估计中连续位的估计,通过使用越来越精确的位移,我们减少了测量的次数,以至于每个额外的位只需要一次测量。这导致了一个算法可以估计φ到$m$ + 2位的精度,并且使用$N$ + $m$测量值的概率至少为1-,其中$N$是一个仅取决于和特定采样算法的量。我们提出了不同的采样算法,并通过仔细的数值评估研究了所需测量的确切数量,并提供了$N$的理论界限和数值。
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引用次数: 4
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International Conference on Quantum Computing and Engineering
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