Long Distance Entanglement Between Quantum Memories / Springer Theses (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Yong Yu
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.
Bibliographische Angaben
- Autor: Yong Yu
- 2023, 1st ed. 2023, 138 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811979391
- ISBN-13: 9789811979392
- Erscheinungsdatum: 01.01.2023
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- Grösse: 3.67 MB
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