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arXiv 2209.03362quant-phmath-phmath.MP
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通过概率协议克服渐近状态转换上的熵限制

Overcoming entropic limitations on asymptotic state transformations through probabilistic protocols

Bartosz Regula, Ludovico Lami, Mark M. Wilde

AI总结:

研究证明在允许概率成功的随机协议下,基于 Hilbert 投影度量正则化的新熵量能突破量子相对熵对渐近状态转换速率的限制,并给出了概率资源蒸馏协议的紧致强逆界。

摘要:

已知量子相对熵在一般资源论设定中决定量子态的渐近可转换性方面起着关键作用,通常构成在渐近区域中相关的唯一单调量。我们证明,当允许仅以一定概率成功的随机协议时,情况不再如此,此时量子相对熵不足以表征渐近状态转换的速率,而一种基于 Hilbert 投影度量正则化的新熵量开始发挥作用。这种场景的动机来自于一种设定,其中与量子态转换相关的成本(通常取为给定状态的副本数)被替代为实现该协议所需的量子内存大小。我们的方法允许构建实现严格高于相对熵所施加速率的转换协议。专注于资源蒸馏任务,我们给出了概率蒸馏协议渐近速率的广泛适用的强逆界,并证明它们在诸如使用非纠缠操作的纠缠蒸馏等相关设定中是紧的。这推广并扩展了先前仅适用于确定性协议的已知限制。我们的方法基于概率单次转换的最新结果,以及投影相对熵的一个新渐近均分性质。

英文摘要:

The quantum relative entropy is known to play a key role in determining the asymptotic convertibility of quantum states in general resource-theoretic settings, often constituting the unique monotone that is relevant in the asymptotic regime. We show that this is no longer the case when one allows stochastic protocols that may only succeed with some probability, in which case the quantum relative entropy is insufficient to characterize the rates of asymptotic state transformations, and a new entropic quantity based on a regularization of the Hilbert projective metric comes into play. Such a scenario is motivated by a setting where the cost associated with transformations of quantum states, typically taken to be the number of copies of a given state, is instead identified with the size of the quantum memory needed to realize the protocol. Our approach allows for constructing transformation protocols that achieve strictly higher rates than those imposed by the relative entropy. Focusing on the task of resource distillation, we give broadly applicable strong converse bounds on the asymptotic rates of probabilistic distillation protocols, and show them to be tight in relevant settings such as entanglement distillation with non-entangling operations. This generalizes and extends previously known limitations that only applied to deterministic protocols. Our methods are based on recent results for probabilistic one-shot transformations as well as a new asymptotic equipartition property for the projective relative entropy.

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