论文标题

上下文的广义格里森定理和有限的信息

Generalized Gleason theorem and finite amount of information for the context

论文作者

Montina, A., Wolf, S.

论文摘要

量子过程不能以非平凡的方式减少为经典过程,而无需在描述测量过程中指定上下文。 Kochen-Specker定理在结果确定的情况下暗示了这一要求,更普遍地是格里森定理。后者确定,只有一个与量子理论兼容的非上下文经典模型,一种与经典状态微不足道地识别量子状态的模型。但是,该模型需要破坏统一进化,以解释宏观现实主义。因此,与量子状态统一演变兼容的因果经典模型在某种程度上必然是上下文。受量子通信复杂性的众所周知结果的启发,我们通过假设有关测量环境的信息量是有限的,考虑了一类特定的隐藏变量理论。为了建立这些理论的一些一般特征,我们首先提出了格里森定理的广义版本,并提供了简单的证明。假设格里森的假设仅在局部用于测量程序的“小”变化,我们获得了原始定理的概率度量功能形式的几乎相同的结论。 “密度运算符”的额外常数和放松的特性是与原始结果相比仅有的两个区别。通过对上下文的格里森定理的概括和有限信息的假设,我们证明了投影测量的三个或多个结果上的概率必须是与结果相关的投影仪的线性函数,鉴于上下文上的信息。

Quantum processes cannot be reduced, in a nontrivial way, to classical processes without specifying the context in the description of a measurement procedure. This requirement is implied by the Kochen-Specker theorem in the outcome-deterministic case and, more generally, by the Gleason theorem. The latter establishes that there is only one non-contextual classical model compatible with quantum theory, the one that trivially identifies the quantum state with the classical state. However, this model requires a breaking of the unitary evolution to account for macroscopic realism. Thus, a causal classical model compatible with the unitary evolution of the quantum state is necessarily contextual at some extent. Inspired by well-known results in quantum communication complexity, we consider a particular class of hidden variable theories by assuming that the amount of information about the measurement context is finite. Aiming at establishing some general features of these theories, we first present a generalized version of the Gleason theorem and provide a simple proof of it. Assuming that Gleason's hypotheses hold only locally for `small' changes of the measurement procedure, we obtain almost the same conclusion of the original theorem about the functional form of the probability measure. An additional constant and a relaxed property of the `density operator' are the only two differences from the original result. By this generalization of the Gleason theorem and the assumption of finite information for the context, we prove that the probabilities over three or more outcomes of a projective measurement must be linear functions of the projectors associated with the outcomes, given the information on the context.

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