Approximate virtual quantum broadcasting
Matthew Simon Tan, Davit Aghamalyan, Varun Narasimhachar

TL;DR
This paper introduces a method for approximate virtual quantum broadcasting that reduces sample size requirements by allowing small systematic bias, overcoming limitations of previous no-broadcasting approaches.
Contribution
It develops efficient semidefinite programs to determine minimal sample sizes for approximate virtual quantum broadcasting with controlled error.
Findings
Approximate virtual broadcasting is feasible with smaller samples than naive methods.
Symmetry-based simplifications enable characterization via depolarizing channels.
The approach balances bias and sample size to optimize quantum information distribution.
Abstract
The no-broadcasting theorem, a fundamental limitation on the communication of quantum information, holds that a physical process cannot broadcast copies of an unknown quantum state to two or more receivers. Recent work has explored ways of circumventing this limitation using "virtual" implementations of non-physical processes using measurement and data-processing on statistical samples of the unknown input. However, the statistical fluctuations of this data degrades the virtual copies so much that the protocol effectively depletes, rather than proliferate, the sample size -- thereby rendering it worse than the "naive" approach of splitting the given sample and sending a subsample to each receiver. In this work, we circumvent this flaw by allowing a small amount of systematic bias in the broadcast data, resulting in approximate virtual copies. We provide efficient semidefinite programs…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Molecular Communication and Nanonetworks
