来源:精密光谱科学与技术国家重点实验室

【校级报告】Quantum Interconnects: Storing and Converting Quantum Information

来源:精密光谱科学与技术国家重点实验室发布时间:2022-09-21浏览次数:66

报告人:Julien Laurat   

主持人:荆杰泰教授   

时间:20221010(周一)下午1700   

地点:光学大楼B325会议室   

ZOOM会议 ID860 5207 2160,密码:123456   

参会链接:https://us05web.zoom.us/j/86052072160?pwd=aU5MemdBVUxwMHJuclZkcDA4aE4yZz09   


报告人简介:

Julien Laurat is Professor at Sorbonne Universit, Paris, and he’s leading a research group in Quantum Optics and Quantum Information Science at Laboratoire Kastler Brossel. After earning an engineering degree in Photonics, he received his PhD in 2004 at LKB on the generation of continuous-variable entanglement and worked then for one year at Institut d’Optique on quantum state engineering with femtosecond pulses. From 2005 to 2007, he held a postdoctoral position at the California Institute of Technology, where he developed quantum repeater primitives based on atomic ensembles. At LKB, his group focuses on experimental and theoretical researches to develop the scientific and technical abilities for the realization of quantum networks. His works includes the development of efficient interfaces between light and cold atoms for quantum data storage, the generation, characterization and manipulation of non-classical states of light, and the implementation of networking protocols using these resources. This research involves fundamental and more applied studies in quantum optics, nonlinear optics, cold atoms, photon detection and nanophotonics. In 2012, he was awarded a Starting grant from the European Research Council and he’s a Senior member of the Institut Universitaire de France. Julien Laurat is also co-founder of the startup Welinq.


报告内容简介:

Quantum interconnects are central to the scale up of quantum information architectures. In this endeavour, I will first report on the implementation of a highly-efficient quantum memory based on a large ensemble of cold atoms. I will discuss how we implemented such efficient memories over the recent years, from typical efficiency values of about 30% in 2015 to 70% in 2018 and close to 90% in this recent work. Moreover, we used this platform to demonstrate highly efficient and reversible entanglement transfer into and out of two quantum memories. I will also present the realization of a faithful quantum-bit-encoding converter that relies on a teleportation process based on hybrid entanglement of light between CV and DV optical qubits.