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arXiv 0908.3023quant-phgr-qc
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封闭的类时曲线或非线性量子力学能否提高量子态的分辨力或帮助解决难题?

Can closed timelike curves or nonlinear quantum mechanics improve quantum state discrimination or help solve hard problems?

Charles H. Bennett, Debbie Leung, Graeme Smith, John A. Smolin

摘要:

我们研究了封闭类时曲线(CTC)和量子力学的其他非线性扩展在区分非正交态和加速硬计算方面的能力。如果一个CTC辅助的计算机与一个标记的混合状态进行区分-最自然的配方-我们表明,CTC是没有用的。与最近声称CTC辅助计算机可以完美区分非正交状态的明显矛盾是通过注意CTC辅助进化是非线性的来解决的,因此这样的计算机在输入的混合物上的输出不是其在混合物的纯分量上的输出的凸组合。类似地,如果计算被定义为我们推荐的那样,也不清楚CTC辅助或非线性进化是否有助于解决困难问题,即正确评估正交输入的标记混合物上的函数。

英文摘要:

We study the power of closed timelike curves (CTCs) and other nonlinear extensions of quantum mechanics for distinguishing nonorthogonal states and speeding up hard computations. If a CTC-assisted computer is presented with a labeled mixture of states to be distinguished--the most natural formulation--we show that the CTC is of no use. The apparent contradiction with recent claims that CTC-assisted computers can perfectly distinguish nonorthogonal states is resolved by noting that CTC-assisted evolution is nonlinear, so the output of such a computer on a mixture of inputs is not a convex combination of its output on the mixture's pure components. Similarly, it is not clear that CTC assistance or nonlinear evolution help solve hard problems if computation is defined as we recommend, as correctly evaluating a function on a labeled mixture of orthogonal inputs.

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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