Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIT.2020.3021289
Title: Noisy Quantum State Redistribution With Promise and the Alpha-Bit
Authors: Anshu, Anurag
Hsieh, Min-Hsiu
Jain, Rahul 
Keywords: Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
Alpha-bit
state redistribution
channel simulation
communication with promise
COMMUNICATION
CAPACITY
INFORMATION
BOUNDS
Issue Date: 1-Dec-2020
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation: Anshu, Anurag, Hsieh, Min-Hsiu, Jain, Rahul (2020-12-01). Noisy Quantum State Redistribution With Promise and the Alpha-Bit. IEEE TRANSACTIONS ON INFORMATION THEORY 66 (12) : 7772-7786. ScholarBank@NUS Repository. https://doi.org/10.1109/TIT.2020.3021289
Abstract: We consider a variation of the well-studied quantum state redistribution task, in which the starting state is known only to the receiver Bob and not to the sender Alice. We refer to this as quantum state redistribution with a one-sided promise. In addition, we consider communication from Alice to Bob over a noisy channel N, instead of the noiseless channel, as is usually considered in state redistribution. We take a natural approach towards the solution of this problem where we 'embed' the promise as part of the state and then invoke known protocols for quantum state redistribution composed with known protocols for transfer of quantum information over noisy channels. Using our approach, we are able to reproduce the Alpha-bit capacities with or without entanglement assistance in Hayden and Penington, using known protocols for quantum state redistribution and quantum communication over noisy channels. Furthermore, we generalize the entanglement assisted classical Alpha-bit capacity, showing that any quantum state redistribution protocol can be used as a black box to simulate classical communication.
Source Title: IEEE TRANSACTIONS ON INFORMATION THEORY
URI: https://scholarbank.nus.edu.sg/handle/10635/192440
ISSN: 00189448
15579654
DOI: 10.1109/TIT.2020.3021289
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