爱思唯尔云论坛:量子信息技术的发展与创新
2021-03-12
直播时间:2021年3月13日(周六)14:00-16:30
本次论坛特邀清华大学教授、北京量子信息科学兼聘科研副院长龙桂鲁教授,中科院物理所研究员、北京量子信息科学院范珩研究员,以及爱思唯尔核心内容客户顾问许靖博士,为我们深入浅出地介绍量子信息的基础知识,重点报告量子计算、量子通信的国内外主要进展,并分享他们近期的最新研究工作。
参与方式:
电脑端:使用Chrome浏览器打开链接 https://live.vhall.com/254692426
手机端:扫描二维码填写报名信息,直播时再次扫码进入直播间观看。
会议日程: 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)
内容简介:
演讲一 浅谈量子通信
量子计算具有超越经典计算的能力,报告将介绍量子计算的工作原理、发展历程和近期进展。简要介绍肖尔量子算法如何破解具有广泛应用的RSA密码系统,谷歌如何利用超导“悬铃木”量子处理器实现量子霸权(量子计算优势),聚焦超导量子计算系列成果,如利用超导量子器件制备多粒子纠缠薛定谔猫态等,最后将展望量子计算今后几年的发展方向和潜在应用。
主讲嘉宾 范桁,中科院物理研究所研究员,博士生导师,固态量子信息与计算实验室主任。入选科技部创新人才推进计划重点领域创新团队(负责人),中组部人才计划项目领军人才,中国物理学会低温物理专业委员会委员。主要从事量子计算和量子模拟理论与实验研究,近期集中于超导量子计算研究,探索量子计算在凝聚态多体物理,量子化学,量子机器学习等方向的潜在应用。
演讲二 量子通信的原理,理论和发展
量子通信泛指通过移动量子态来实现信号、信息和量子态的转移和传输的量子技术。本报告将简单介绍量子通信的原理,主要理论和发展现状。注重介绍直接利用量子态传输信息的量子直接通信,介绍其原理和实用化关键技术和样机的研发情况。
主讲嘉宾 龙桂鲁,清华大学教授,英国学会会士、美国物理学会会士,2003年获“国家杰出青年基金”资助。在国际学术组织中,曾任亚太物理学会联合会副理事长、理事长;IUPAP物理与发展工作委员会委员、副主席。现担任亚太物理学会联合会理事,亚太理论物理中心理事。主要学术贡献包括:构造了被国际上称为Grover-Long算法的量子精确搜索算法;原创提出了量子直接通信,是国际上量子保密通信的三个最主要理论之一;提出了以酉算子的线性组合进行量子计算的方法,被广泛应用。
演讲三 回溯经典,展望未来——Elsevier助力量子科技研究
量子态叠加,量子纠缠和宏观量子隧穿效应构成了量子科技的理论基础。报告将回溯Elsevier期刊中的经典著作,以及近年来Elsevier如何通过优质内容和解决方案助力量子科技的未来研究。
主讲嘉宾 许靖,中科院国家纳米科学中心获博士学位,研究方向为分子自组装的扫描隧道显微研究,曾在Nanoscale、JPCC和Chin. Chem. Lett上发表过多篇SCI论文,其中第一作者9篇。熟练掌握科研检索技能与应用案例。