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Quantum Error Correction Fault Tolerance Quantum Machine Learning

Criteria for reliable entanglement quantification with finite data

arXiv
Authors: Jun O. S. Yin, Steven J. van Enk

Year

2010

Paper ID

10465

Status

Preprint

Abstract Read

~2 min

Abstract Words

42

Citations

N/A

Abstract

We propose one and a half criteria for determining how many measurements are needed to quantify entanglement reliably. We base these criteria on Bayesian analysis of measurement results, and apply our methods to four-qubit entanglement, but generalizations to more qubits are straightforward.

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