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arXiv 1801.04795quant-ph
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可强模拟的量子Schur采样电路

Quantum Schur Sampling Circuits can be Strongly Simulated

Vojtech Havlicek, Sergii Strelchuk

摘要:

置换量子计算(PQC)[ \emph{Quantum~Info.~Comput.},\textbf{10},470- 497,(2010)]是一种自然的量子计算模型,其用于捕获量子计算的非经典方面。支持这一猜想的一个论点是,没有有效的经典算法来估计杨氏正交形式的$S_n$不可约表示矩阵的矩阵元素,这对应于一大类PQC电路的跃迁幅度。这个问题可以用PQC机在多项式时间内解决,但以前没有有效的经典算法。在这里,我们给出了一个经典的算法,有效地近似的过渡幅度多项式的加性精度,从而解决了这个问题。我们进一步扩展我们的讨论表明,更广泛的一类量子线路-量子舒尔采样电路-的跃迁幅度也可以有效地估计经典。

英文摘要:

Permutational Quantum Computing (PQC) [\emph{Quantum~Info.~Comput.}, \textbf{10}, 470--497, (2010)] is a natural quantum computational model conjectured to capture non-classical aspects of quantum computation. An argument backing this conjecture was the observation that there was no efficient classical algorithm for estimation of matrix elements of the $S_n$ irreducible representation matrices in the Young's orthogonal form, which correspond to transition amplitudes of a broad class of PQC circuits. This problem can be solved with a PQC machine in polynomial time, but no efficient classical algorithm for the problem was previously known. Here we give a classical algorithm that efficiently approximates the transition amplitudes up to polynomial additive precision and hence solves this problem. We further extend our discussion to show that transition amplitudes of a broader class of quantum circuits -- the Quantum Schur Sampling circuits -- can be also efficiently estimated classically.

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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