Communication Complexity of One-Shot Remote State Preparation

02/21/2018
by   Shima Bab Hadiashar, et al.
0

Quantum teleportation uses prior shared entanglement and classical communication to send an unknown quantum state from one party to another. Remote state preparation (RSP) is a similar distributed task in which the sender knows the entire classical description of the state to be sent. (This may also be viewed as the task of non-oblivious compression of a single sample from an ensemble of quantum states.) We study the communication complexity of approximate remote state preparation, in which the goal is to prepare an approximation of the desired quantum state. Jain [Quant. Inf. & Comp., 2006] showed that the worst-case communication complexity of approximate RSP can be bounded from above in terms of the maximum possible information in an encoding. He also showed that this quantity is a lower bound for communication complexity of (exact) remote state preparation. In this work, we tightly characterize the worst-case and average-case communication complexity of remote state preparation in terms of non-asymptotic information-theoretic quantities. We also show that the average-case communication complexity of RSP can be much smaller than the worst-case one. In the process, we show that n bits cannot be communicated with less than n transmitted bits in LOCC protocols. This strengthens a result due to Nayak and Salzman [J. ACM, 2006] and may be of independent interest.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/08/2023

Communication complexity of entanglement assisted multi-party computation

We consider a quantum and classical version multi-party function computa...
research
07/17/2018

Remote Sampling with Applications to General Entanglement Simulation

We show how to sample exactly discrete probability distributions whose d...
research
05/06/2019

On the Entanglement Cost of One-Shot Compression

We revisit the task of compressing an ensemble of quantum states in the ...
research
07/24/2021

On relating one-way classical and quantum communication complexities

Let f: X × Y →{0,1,} be a partial function and μ be a distribution with ...
research
10/07/2020

Optimal Gradient Compression for Distributed and Federated Learning

Communicating information, like gradient vectors, between computing node...
research
08/17/2020

A near-optimal direct-sum theorem for communication complexity

We show a near optimal direct-sum theorem for the two-party randomized c...
research
01/25/2019

Communication Complexity of Estimating Correlations

We characterize the communication complexity of the following distribute...

Please sign up or login with your details

Forgot password? Click here to reset