Entanglement quantification enhanced by dark count correction

TL;DR

This paper introduces a dark count correction method for quantum state tomography of entangled photons, improving entanglement quantification accuracy through a linear model and demonstrating superior efficiency over experimental techniques.

Contribution

A novel linear model-based dark count correction method that enhances entanglement quantification in quantum tomography, outperforming traditional experimental approaches.

Findings

Numerical dark count correction yields more reliable state reconstruction.

Theoretical approach outperforms experimental techniques in entanglement quantification.

Method validated on empirical data from polarization-entangled photon experiments.

Abstract

In this letter, we propose a method of dark count correction in quantum state tomography of entangled photon pairs. The framework is based on a linear model of dark counts, which is imposed on the measurement formalism. The method is tested on empirical data derived from an experiment on polarization-entangled photons. We demonstrate that the numerical approach to dark count correction guarantees more reliable state reconstruction compared with standard estimation. Most importantly, however, the conceptually simple theoretical approach proves to be more efficient at entanglement quantification than experimental techniques.