Abstract

Two particles, even being far from each other have quantum correlation as a result of the existence of entanglement between them. Therefore, information can be shared by entangled particles, sitting in separate places. Superdense coding is one of the quantum protocols that rely on entanglement. In this paper, we review superdense coding with a non-inertial observer in the beyond single mode approximation and investigate the probability of success for superdense coding. We analyze the mutual information due to the effects of acceleration on the quantum and classical correlations of the state. Entanglement behavior is studied considering an entanglement measure the so-called the concurrence. Comparing the mutual information and the concurrence with the probability of superdense coding is shown that quantities have different behaviors, particularly, when the beyond single mode approximation plays a powerful role.

Highlights

  • Entanglement has central importance in quantum information theory

  • It has been shown that entanglement in the limit of infinite acceleration is non-zero between spinor modes in single mode approximation [1]

  • Entanglement treatments and its applications in quantum information processing have been investigated for non-inertial observers in the single mode approximation [2, 3]

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Summary

Introduction

Our current understanding of the universe reveals that it can be best described by relativistic physics and so, many implementations of quantum information tasks require relativistic system. The main purpose of this research is to study how the quantum and classical correlations and the entanglement of the state can be useful for superdense coding by a non-inertial observer in beyond single mode approximation. We compare the probability of success in superdense coding with the quantum and classical correlations, the mutual information and a common entanglement measure, the concurrence [7, 8]. It is shown these quantities have different behaviours in beyond single mode approximation

Superdense Coding
Superdense Coding in Non-Inertial Frame
Results and Discussion
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