One-shot quantum state redistribution and quantum Markov chains

Citation:

Anurag Anshu, Shima Bab Hadiashar, Rahul Jain, Ashwin Nayak, and Dave Touchette. 4/18/2021. “One-shot quantum state redistribution and quantum Markov chains.” IEEE Transactions on Information Theory . Publisher's Version

Abstract:

We revisit the task of quantum state redistribution in the one-shot setting, and design a protocol for this task with communication cost in terms of a measure of distance from quantum Markov chains. More precisely, the distance is defined in terms of quantum max-relative entropy and quantum hypothesis testing entropy.Our result is the first to operationally connect quantum state redistribution and quantum Markov chains, and can be interpreted as an operational interpretation for a possible one-shot analogue of quantum conditional mutual information. The communication cost of our protocol is lower than all previously known ones and asymptotically achieves the well-known rate of quantum conditional mutual information. Thus, our work takes a step towards the important open question of near-optimal characterization of the one-shot quantum state redistribution.

Notes:

  • TQC 2021 and ISIT 2021
Last updated on 06/04/2023