Theoretical and Natural Science

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Theoretical and Natural Science, Vol. 10,
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Citation Yifan Wang. State-of-art applications and the function of quantum entanglement in quantum information. TNS (2023) Vol. 10: 9-15. DOI: 10.54254/2753-8818/10/20230302.

Quantum information is a cutting-edge technology that has numerous applications. It mainly makes usage of some quantum entanglement characteristics and uses the quantum entangled state as a carrier for information transfer. Therefore, compared to traditional information, quantum information has excellent features, e.g., stronger security and reduced susceptibility to interference. This article introduces the definition, concept, characteristics and history of quantum entanglement and quantum information. To be specific, this study lists the applications of quantum entanglement in communication and radar. In addition, it gives an outlook on the future function of quantum entanglement in quantum information based on the advantages and disadvantages of quantum entanglement. Contemporarily, the field of physics is rapidly advancing in both quantum entanglement and quantum information, and there have also been significant technological advancements. In experiments, scientists have been able to extend the transmission distance of quantum information to great distances. At the same time, scholars are looking for ways to minimise the interference of quantum information during transmission. In constant exploration and experimentation, the experimental results have inspired scientists to explore the deeper realms of quantum information.

quantum entanglement, quantum information, quantum teleportation, quantum key distribution, quantum radar

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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- Volume Title
- Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation

- ISBN (Print)
- 978-1-83558-131-5

- ISBN (Online)
- 978-1-83558-132-2

- Published Date
- 17 November 2023

- Series
- Theoretical and Natural Science

- ISSN (Print)
- 2753-8818

- ISSN (Online)
- 2753-8826

- DOI
- 10.54254/2753-8818/10/20230302

- Copyright
- © 2023 The Author(s)

- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited