The Quantum Reverse Shannon Theorem has been a milestone in quantum information theory. It states that asymptotically reliable simulation of a quantum channel, assisted by unlimited shared entanglement, requires a rate of classical communication equal to the channel's entanglement-assisted classical capacity. Here, we study the optimal speed at which the performance of channel simulation can exponentially approach the perfect, when the blocklength increases. This is known as the reliability function. We have determined the exact formula of the reliability function when the classical communication cost is not too high -- below a critical value. This enables us to obtain, for the first time, an operational interpretation to the channel's sandwiched R\'enyi mutual information of order from 1 to 2, since our formula of the reliability function is expressed as a transform of this quantity. In the derivation, we have also obtained an achievability bound for the simulation of finite many copies of the channel, which is of realistic significance.
翻译:量子信息理论的量子反转 香农理论是量子信息理论中的一个里程碑。 它指出, 量子信道的微量模拟, 由无限制的共享缠绕辅助, 需要一种与频道缠绕辅助的古典能力等量子模拟速度。 在这里, 我们研究频道模拟的性能在轮廓长度增加时能够指数化接近完美的最佳速度。 这被称为可靠性函数。 当古典通信成本不高时, 我们确定了可靠性函数的精确公式, 低于一个关键值。 这使我们能够首次获得对频道1到2 之间经过夹层的R\ enyi 相互秩序信息的操作解释, 因为我们的可靠性函数公式表现为这种数量的转换。 在衍生过程中, 我们还获得了一个对频道数量有限、 具有实际意义的模拟的可实现性。