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arXiv 2202.09109quant-ph
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一般概率论中的组合与导向

Assemblages and steering in general probabilistic theories

Anna Jenčová

AI总结:

本文在一般概率论框架下研究导向,利用张量交叉范数和Choquet理论刻画二分组合的导向度与不可导向状态,并将结果推广至无穷维及任意测量。

摘要:

我们在一般概率论框架下研究导向。我们证明,对于二分组合,导向可以通过某种张量交叉范数来刻画,该范数也与由导向鲁棒性给出的导向度相关。另一项贡献是观察到GPT中的导向可以方便地利用状态空间上概率测度的Choquet理论来处理。特别地,我们找到了二分组合的通用导向度的变分表达式,并获得了刻画不可导向状态的条件,类似于最近在量子情形中发现的条件。该设定还使我们能够相当容易地将结果推广到无穷维以及具有任意结果的任意数量测量。

英文摘要:

We study steering in the framework of general probabilistic theories. We show that for dichotomic assemblages, steering can be characterized in terms of a certain tensor cross norm, which is also related to a steering degree given by steering robustness. Another contribution is the observation that steering in GPTs can be conveniently treated using Choquet theory for probability measures on the state space. In particular, we find a variational expression for universal steering degree for dichotomic assemblages and obtain conditions characterizing unsteerable states analogous to some conditions recently found for the quantum case. The setting also enables us to rather easily extend the results to infinite dimensions and arbitrary numbers of measurements with arbitrary outcomes.

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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