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arXiv 1905.01784quant-ph
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上下文集合的向量生成

Vector Generation of Contextual Sets

Mladen Pavicic, Norman D. Megill

摘要:

由于量子上下文被证明是通用量子计算的必要资源,我们提出了一个一般的方法来生成超图形式的Kochen-Specker(KS)上下文集的向量。该方法取代所有以前的三种方法:(一)偶然发现的最小KS集,(二)详尽向上超图生成的集,和(三)随机向下生成的集偶然获得的大主集。与以前的作品相比,我们可以生成包含所有可能的KS集的主集,除了一些简单的向量分量之外什么都没有。从它们中,我们可以很容易地产生所有的KS集在过去的半个世纪中获得的任何指定的新KS集。因此,我们可以生成足够大的集合以及具有明确所需特征和结构的集合,以实现量子计算和通信中的各种不同实现。

英文摘要:

As quantum contextuality proves to be a necessary resource for universal quantum computation, we present a general method for vector generation of Kochen-Specker (KS) contextual sets in the form of hypergraphs. The method supersedes all three previous methods: (i) fortuitous discoveries of smallest KS sets, (ii) exhaustive upward hypergraph-generation of sets, and (iii) random downward generation of sets from fortuitously obtained big master sets. In contrast to previous works, we can generate master sets which contain all possible KS sets starting with nothing but a few simple vector components. From them we can readily generate all KS sets obtained in the last half a century and any specified new KS sets. Herewith we can generate sufficiently large sets as well as sets with definite required features and structures to enable varieties of different implementations in quantum computation and communication.

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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