Yong Yu 
Long Distance Entanglement Between Quantum Memories [PDF ebook] 

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This book highlights novel research work done on cold atom-based quantum networks. Given that one of the main challenges in building the quantum network is the limited entanglement distribution distance, this book presents some state-of-the-art experiments in tackling this challenge and, for the first time, establishes entanglement between quantum memories via metropolitan-scale fiber transmission. This achievement is accomplished by cooperating high-efficiency cold quantum memories, low-loss quantum frequency conversion modules, and long-fiber phase-locking techniques. In the book, the scheme design, experimental setup, data analyses, and numerous technical details are given. Therefore, it suits a broad readership that includes all students, researchers, and technicians who work in quantum information sciences.

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Table des matières

1. ​Introduction.- 2 Principle of cold atom-based quantum memories.- 3. Quantum memory with high efficiencies.- 4. Quantum frequency conversion.- 5. Remote entanglement by two-photon interference.- 6. Remote entanglement by single-photon interference.- Measurement-device-independent verification of a quantum memory.- 8. Improvements of cold atom-based quantum memories.- 9. Conclusion and outlook.

 

A propos de l’auteur

Yong Yu obtained his bachelor’s degree from Jilin University in 2014. Then, he joined the University of Science and Technology of China (USTC), where he graduated cum laude and obtained his Ph.D. in Physics in 2020. His research interests mainly focus on cold atom-based quantum networks. He has published many excellent works in journals such as Nature, Nature Photonics, and Physical Review Letters. Due to his outstanding work during his Ph.D. study, he was awarded the President Special Prize of the Chinese Academy of Sciences (CAS). His doctoral dissertation was rated as excellent by USTC and the CAS. Now, he is working as a postdoctoral researcher at the Delft University of Technology.

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Langue Anglais ● Format PDF ● Pages 138 ● ISBN 9789811979392 ● Taille du fichier 3.9 MB ● Maison d’édition Springer Nature Singapore ● Lieu Singapore ● Pays SG ● Publié 2023 ● Téléchargeable 24 mois ● Devise EUR ● ID 8780669 ● Protection contre la copie DRM sociale

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