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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-10-13
摘要
Given a classical channel—a 隨機 map from inputs to outputs—the input can often be transformed into an intermediate variable that is 資訊ally smaller than the input. The new channel accurately simulates the original but at a smaller 傳播 rate. Here, we examine this procedure when the intermediate variable is a 量子 state. We determine when and how well 量子 simulations of classical channels may improve upon the minimal rates of classical simulation. This inverts Holevo’s original question of quantifying the capacity of 量子 channels with classical resources: We determine the lowest-capacity 量子 channel required to simulate a classical channel. We also show that this problem is equivalent to another, involving the local generation of a distribution from common entanglement.
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