We give upper and lower bounds on the amount of quantum communication required to perform the task of quantum state redistribution in a one-shot setting. In quantum state redistribution as considered in [Luo and Devetak (2009)] and [Devetak and Yard (2008)], there are 4 systems of interest: the A system held by Alice, the B system held by Bob, the C system that is to be transmitted from Alice to Bob, and the R system that holds a purification of the state in the ABC registers. Our bounds are in terms of smooth conditional min- and max- entropies, and the smooth max-information. The protocol for the upper bound has a clear structure, building on the work [Oppenheim (2008)]: it decomposes the quantum state redistribution task into two simpler...
We analyze a task in which classical and quantum messages are simultaneously communicated via a nois...
Winters measurement compression theorem stands as one of the most penetrating insights of quantum in...
Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and...
In quantum state redistribution as introduced by Luo and Devetak and Devetak and Yard, there are fou...
In quantum state redistribution as introduced by Luo and Devetak and Devetak and Yard, there are fo...
We consider an unknown quantum state shared between two parties, Alice and Bob, and ask how much qua...
State redistribution is the protocol in which given an arbitrary tripartite quantum state, with two ...
We revisit the task of quantum state redistribution in the one-shot setting, and design a protocol f...
We use a Rényi entropy method to prove a strong converse theorem for the task of quantum state redis...
Abstract. We establish bounds on the maximum entanglement gain and minimum quantum communication cos...
© 2019 Author(s). One-shot information theory entertains a plethora of entropic quantities, such as ...
Entropies have been immensely useful in information theory. In this Thesis, several results in quan...
We find that the asymptotic entanglement of assistance of a general bipartite mixed state is equal t...
We study entanglement-assisted quantum and classical communication over a single use of a quantum ch...
Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and ...
We analyze a task in which classical and quantum messages are simultaneously communicated via a nois...
Winters measurement compression theorem stands as one of the most penetrating insights of quantum in...
Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and...
In quantum state redistribution as introduced by Luo and Devetak and Devetak and Yard, there are fou...
In quantum state redistribution as introduced by Luo and Devetak and Devetak and Yard, there are fo...
We consider an unknown quantum state shared between two parties, Alice and Bob, and ask how much qua...
State redistribution is the protocol in which given an arbitrary tripartite quantum state, with two ...
We revisit the task of quantum state redistribution in the one-shot setting, and design a protocol f...
We use a Rényi entropy method to prove a strong converse theorem for the task of quantum state redis...
Abstract. We establish bounds on the maximum entanglement gain and minimum quantum communication cos...
© 2019 Author(s). One-shot information theory entertains a plethora of entropic quantities, such as ...
Entropies have been immensely useful in information theory. In this Thesis, several results in quan...
We find that the asymptotic entanglement of assistance of a general bipartite mixed state is equal t...
We study entanglement-assisted quantum and classical communication over a single use of a quantum ch...
Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and ...
We analyze a task in which classical and quantum messages are simultaneously communicated via a nois...
Winters measurement compression theorem stands as one of the most penetrating insights of quantum in...
Smooth entropies are a tool for quantifying resource trade-offs in (quantum) information theory and...