Quantum Channel Simulation and the Channel's Smooth Max-Information

Kun Fang, Xin Wang, Marco Tomamichel, Mario Berta
2019 IEEE Transactions on Information Theory  
We study the general framework of quantum channel simulation, that is, the ability of a quantum channel to simulate another one using different classes of codes. First, we show that the minimum error of simulation and the one-shot quantum simulation cost under no-signalling assisted codes are given by semidefinite programs. Second, we introduce the channel's smooth max-information, which can be seen as a one-shot generalization of the mutual information of a quantum channel. We provide an exact
more » ... operational interpretation of the channel's smooth max-information as the one-shot quantum simulation cost under no-signalling assisted codes, which significantly simplifies the study of channel simulation and provides insights and bounds for the case under entanglement-assisted codes. Third, we derive the asymptotic equipartition property of the channel's smooth max-information; i.e., it converges to the quantum mutual information of the channel in the independent and identically distributed asymptotic limit. This implies the quantum reverse Shannon theorem in the presence of no-signalling correlations. Finally, we explore the simulation cost of various quantum channels. * Electronic address: kf383@cam.ac.uk † A preliminary version of this paper was accepted as talk presentations at the 2018 IEEE International Symposium on Information Theory (ISIT 2018). arXiv:1807.05354v2 [quant-ph]
doi:10.1109/tit.2019.2943858 fatcat:ntyjvbdc5nabvbkbzdcfqmedi4