学 术

分享到微信 ×
打开微信“扫一扫”
即可将网页分享至朋友圈
博士后学术沙龙(第55期)
文:肖宁静 张高俊 来源:基础与前沿研究院 党委教师工作部、人力资源部 时间:2021-06-25 3703

  搭建我校博士后之间的学术交流平台,促进学术水平提升,学校博士后管理办公室组织开展博士后学术沙龙活动。本次沙龙由我校博士后徐浩、敬波和黄海栗分享其研究成果,诚挚邀请感兴趣的师生参加。

  一、时 间:2021年6月30日(周三)14:30

  二、地 点:沙河校区通信楼818会议室

  三、主办单位:电子科技大学博士后管理办公室

  四、承办单位:基础与前沿研究院  电子科技大学博士后联谊会

  五、活动安排:

  报告一:

  (1)主题:Optoelectronic Properties and Photodetection of Emerging 2D Glassy-Graphene

  (2)主讲人:徐浩 基础与前沿研究院博士后

  (3)交流内容:

  In this talk, the presenter will firstly introduce an emerging graphene derivative, 2D glassy-graphene, discovered and named by his Ph.D. group at University College London. Originated from the distorted crystal lattice dominated by the Stone-Wales defects, glassy-graphene exhibits intriguing and specific optoelectronic properties, including tunable electrical conductivity, optical transparency, thickness-dependent bandgaps and good air-stability. With performing a series of experimental and theoretical studies, he has revealed the mechanisms behind defect density induced impacts on optoelectronic features and carrier transport characteristics at heterojunction interfaces. Novel and transparent glassy-graphene photodetectors with high performance were then achieved. Consequently, these studies have demonstrated the potential of glassy-graphene for integrated broadband photodetection and also volatile organic compound sensing, providing a promising solution for optoelectronics further beyond.

  (4)主讲人简介:

  Hao Xu received his Ph.D. degree in Photonics and Nanotechnology from University College London (UCL) in 2019. Dr. Xu is now a full-time Research Professor and a part-time Postdoctoral Research Fellow at University of Electronic Science and Technology of China (UESTC). He has been granted the MOHRSS International Postdoctoral Exchange Fellowship Program (National Talent-Introduction Program) in 2019 and the UESTC 100-Talent Program in 2020. His current research is mainly focused on optoelectronic properties of low-dimensional semiconductors, including graphene, glassy-graphene, TMDs and hybrid systems, and their applications for nanoelectronics and optoelectronics.

  报告二:

  (1)主题:Multiplexed and broadband quantum memory for single photons at telecom C-band

  (2)主讲人:敬波 基础与前沿研究院博士后

  (3)交流内容:

  Quantum networks are of great significance for multi-party quantum communication, distributed quantum computing and quantum metrology, etc. To construct global quantum networks, one of the building blocks is to entangle remote stationary quantum network nodes, where telecom C-band photons are the best media considering its low fibre transmission loss and convenient qubit encoding. For stationary quantum network node, the best choice is to use a quantum memory that can store photons traveling around the network nodes. Realizing a high-performance quantum memory with high efficiency, long storage time, large bandwidth, and multimode capacity, etc. has become more and more important for global quantum networks.

  In this talk, I will briefly introduce our work about realizing a fibre-based quantum memory with large bandwidth and multimode capacity. We firstly develop technologies for preparing broadband atomic frequency combs (AFC) and successfully prepare five separate 10 GHz-wide AFC in an erbium-ions doped fibre (EDF), which is across a total 70 GHz inhomogeneous broadening, then demonstrate broadband quantum storage of telecom C-band single photons with a time-bandwidth product up to 11500. In the end, we demonstrate quantum storage of 1650 spectrally and temporally multiplexed modes of single photons with sub-ns width. Our work paves an important step for implementing quantum networks based on multiplexed and broadband solid-state quantum memories.

  (4)主讲人简介:

  B. Jing received the Bachelor degree and Ph.D. degree from University of Science and Technology of China, in 2013 and 2019, respectively. He currently works as a Postdoctoral Fellow in the Institute of Fundamental and Frontier Sciences of UESTC. Dr. Jing serves as a referee for Physical Review Journals of APS and is working in the field of quantum networks with multiple quantum memories. His main research interests include high-performance quantum memory, photon-atom/atom-atom entanglement; quantum repeater and quantum communication. Several related works have been published in Nature, Nature Photonics and Physical Review Letters, etc.

  报告三:

  (1)主题:基于干涉现象的(类)量子决策模型

  (2)主讲人:黄海栗 基础与前沿研究院博士后

  (3)交流内容:

  由于决策的形成受到决策者主观因素、认知能力、环境影响等一系列要素的影响,导致基于经典概率理论的传统决策模型始终难以对人在不确定或矛盾状态下作出的看似“非理性”的决策行为做出较好的预测;另一方面,基于深度学习的判断决策则恰恰相反,其通过多个层次抽象推断提取的特征参数对人类而言通常无法理解。为了消解可解释性和拟合精确度之间的矛盾,研究者们提出了一类新决策模型——(类)量子决策模型。本次交流中,将简单介绍(类)量子决策的由来和发展,并在类比干涉现象的基础上给出一种新的(类)量子决策模型。而后将讨论模型计算中遇到的问题。

  首先,将介绍几种目前常见的模型及其运算原理。从可解释性的角度出发,在逻辑上建立“量子”与“决策”之间的关系,提出一种新的(类)量子决策模型:将决策类比于具有一定动能的微观粒子,通过狭缝后投影到屏幕的过程;狭缝的形状尺寸由已知的,给定数值的收益决定;粒子的动能E则有收益差的函数表示。

  随后在逻辑描述自洽的前提下,描述诸如狭缝尺寸大小、狭缝间距和投影距离等物理参数在决策模型中的含义。简述粒子通过三维狭缝后产生干涉图形的计算方法及相应优化,同时提出计算过程中遇到的问题及相应的思考。

  (4)主讲人简介:

  黄海栗博士,2019年毕业于西安电子科技大学。目前的主要研究方向是新型量子决策模型的建构与实现。 


                   电子科技大学博士后管理办公室

                      2021年6月25日     

 

编辑:林坤  / 审核:林坤  / 发布:陈伟