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“量子信息论”专题论坛 | CQCC & GQSF 2026
2026-07-0218


第五届CCF量子计算大会暨第五届大湾区量子科学论坛将于8月3-5日在深圳举办。其中,专题论坛“量子信息论”将于8月3日登场。


CQCC & GQSF 2026 概况

第五届CCF量子计算大会暨第五届大湾区量子科学论坛(CQCC & GQSF 2026)将于2026年8月3日-5日首次落地深圳,以“量与智相融合,量超智共融算”为核心主题,预计将有逾1500人参会,延续往届跨学科交流传统,汇聚全球量子科技领域顶尖智慧,推动技术从实验室突破迈向规模化产业应用。


本届大会由中国计算机学会(CCF)和中国物理学会联合主办、CCF量子计算专业委员会及粤港澳大湾区(广东)量子科学中心、中国科学院东莞材料研究所、北京量子信息科学研究院共同承办。


大会聚焦学术引领与产业赋能双重价值:学术端设置理论算法、量子AI大模型、跨模态量子计算等前沿论坛;产业端举办高规格展览与政企对接活动,集中展示量子芯片量产、行业应用解决方案等核心成果,加速金融、生物医药等领域商业化落地,为产业链上下游搭建高效对接桥梁。

量子信息论” 专题论坛

论坛时间:8月3日16:00-18:00



论坛介绍:

量子信息科学以量子力学基本规律为基础,研究量子态、量子过程与量子测量所蕴含的信息处理能力,是量子计算、量子通信、量子精密测量与量子密码学发展的核心理论支撑。当前,随着量子硬件能力持续提升,量子信息研究正从基础理论问题向可验证、可实现、可扩展的信息处理任务不断延伸。如何刻画量子资源的可转换性与信息论极限,如何借助随机化测量高效提取量子系统信息,以及如何利用非定因果结构突破传统通信框架,构成该领域的重要前沿方向。


本专题论坛邀请来自香港中文大学(深圳)、哈尔滨工业大学、复旦大学和香港大学的专家学者,围绕量子资源理论、量子 Rényi 信息、随机量子测量以及不定因果序的通信能力等前沿议题展开讨论。论坛将系统呈现量子信息理论的最新进展,探讨量子力学基本结构如何转化为可操作的信息处理优势,并展望相关理论对未来量子技术发展的支撑作用。



论坛议程


顺序

主题

主讲嘉宾

单位

1

Second Law of Quantum Resource Theories

Masahito Hayashi

香港中文大学(深圳),深圳国际量子院

2

From Operator Space to Quantum Rényi Information: Additivity and Operational Interpretation

李科

哈尔滨工业大学

3

Randomized quantum measurements in quantum information processing

朱黄俊

复旦大学

4

The communication power of indefinite causal order

赵犇池

香港大学




论坛主席


方堃



香港中文大学(深圳) 助理教授

方堃,香港中文大学(深圳)助理教授、校长青年学者。于2018 年获悉尼科技大学量子信息方向博士学位,2018 至2020 年分别在剑桥大学和滑铁卢大学担任博士后研究员,2020年回国任百度量子计算研究所资深研究员和技术带头人。研究方向聚焦于探索量子信息处理的能力与极限,通过对相关数学工具和软件平台的研发及应用,为量子科技实用化落地所遇到的关键问题提供解决方案。目前,在Nature Physics、Nature Communications、Physical Review Letters、PRX Quantum、Communications in Mathematical Physics、IEEE Transactions on Information Theory、Mathematical Programming等物理、数学、信息以及优化领域的国际顶级学术期刊发表论文30余篇,以第一发明人身份获国内外技术专利授权50项。

陈然一鎏



粤港澳大湾区量子科学中心 助理研究员

陈然一鎏,现任粤港澳大湾区量子科学中心助理研究员。博士毕业于丹麦哥本哈根大学数学系。长期从事量子密码学与量子信息理论研究,聚焦于贝尔非定域性及设备无关量子信息处理的基础理论。近期研究主要围绕量子设备验证、算子代数在贝尔非定域性中的应用以及量子算法的开发。以第一作者身份在Nature Physics,AHP,Communication Physics,Quantum Science & Technology等主流期刊发表论文十余篇。此外,曾在QIP、TQC、AQIS等量子信息和量子计算领域的顶级会议上作口头报告。



报告嘉宾及内容


Masahito Hayashi



香港中文大学(深圳)校长讲座教授

Masahito Hayashi received the B.S. degree from the Faculty of Sciences, Kyoto University, Japan, in 1994, and the M.S. and Ph.D. degrees in mathematics from Kyoto University in 1996 and 1999, respectively. He was with Kyoto University as a Research Fellow of the Japan Society of the Promotion of Science (JSPS) from 1998 to 2000 and the Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN, as a Researcher, from 2000 to 2003. He was with ERATO Quantum Computation and Information Project, Japan Science and Technology Agency (JST), as the Research Head, from 2003 to 2006, and ERATO-SORST Quantum Computation and Information Project, JST, as a Group Leader, from 2006 to 2007. He was also with the Superrobust Computation Project Information Science and Technology Strategic Core (21st Century COE by MEXT) Graduate School of Information Science and Technology, The University of Tokyo, as an Adjunct Associate Professor, from 2004 to 2007. He was with the Graduate School of Information Sciences, Tohoku University, as an Associate Professor, from 2007 to 2012. In 2012, he joined the Graduate School of Mathematics, Nagoya University, as a Full Professor. He was with the Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China, as a Chief Research Scientist, from 2020 to 2023. In 2023, he joined the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), as a Full Professor, and joined International Quantum Academy (SIQA) as a Chief Research Scientist.


报告主题:Second Law of Quantum Resource Theories


摘要:The second law of thermodynamics is a fundamental concept in physics, characterizing the convertibility between thermodynamic states through a single function—entropy. An important question in quantum information theory has been whether an analogous second law can be established for resources in quantum information processing, such as entanglement. In 2008, a formulation was proposed, linking resource convertibility to the optimal performance of a variant of the quantum version of hypothesis testing. The proposal made use of the generalized quantum Stein’s lemma to characterize this optimal performance by a measure of quantum resources, the regularized relative entropy of resource. If this approach is valid, a second law for quantum resources can be established, with the regularized relative entropy of resource taking on the role of thermodynamic entropy. However, in 2023, a gap was found in the proof of the generalized Stein’s lemma. Here we provide an alternative proof of the generalized quantum Stein’s lemma under a smaller set of assumptions. Furthermore, we re-establish and extend the second law of quantum resource theories, applicable to both static resources of quantum states and dynamical resources represented by classical–quantum channels. The contents have been published as Nature Physics. 21, 1988–1993 (2025).

李科



哈尔滨工业大学 教授

李科,哈尔滨工业大学数学研究院教授,博士生导师。他分别于2004年和2009年在中国科学技术大学获得学士和博士学位,其后在新加坡国立大学、IBM 沃森研究中心和麻省理工学院、加州理工学院从事研究工作,2017年回国加入哈尔滨工业大学,入选国家青年人才计划。李科的研究兴趣为量子信息理论,相关工作发表在Ann. Statist, Comm. Math. Phys, IEEE Trans. Inf. Theory, Nat. Phys, Phys. Rev. Lett等杂志上。


报告主题:From Operator Space to Quantum Rényi Information: Additivity and Operational Interpretation


摘要:The connection between operator theory and quantum entropies dates back to the early days of the 20th century, when von Neumann formulated the mathematical foundation of quantum mechanics. I will talk about the recent development of this connection. From the perspective of operator space theory, we discuss the definitions and properties of the sandwiched quantum Rényi divergence and its induced information quantities. In particular, we show how tools from operator space theory help us prove the additivity of quantum Rényi information, which is crucial in establishing its operational meaning.

朱黄俊



复旦大学 教授

Prof. Huangjun Zhu received Bachelor, Master, and PhD degrees from Zhejiang University, Peking University, and National University of Singapore, respectively. After postdoctoral research at Perimeter Institute and Cologne Institute for Theoretical Physics, he joined the Department of Physics, Fudan University in January 2018.  His main research interests are quantum information theory, including quantum measurements, quantum metrology, quantum characterization, verification, and validation (QCVV), and blind quantum computation.


报告主题:Randomized quantum measurements in quantum information processing


摘要:Quantum measurements are the key to extracting information from quantum systems and connecting the quantum world with the classical world. For many applications in quantum information processing, randomized measurements have proved to be much more efficient in information extraction compared with conventional deterministic measurement schemes. In this talk, I will discuss the applications of randomized measurements in various tasks, including verification of quantum states, gates, and computation, estimation of linear properties (say fidelity) and nonlinear properties (say purity), certification of (high-dimensional) entanglement, and the learning of unitary channels. Beyond practical protocols, I will address the fundamental efficiency limits of these tasks and the roles of entanglement and nonstabilizerness (magic) in the statistical performance of randomized measurements.

赵犇池



香港大学 博士后

Benchi Zhao is currently a postdoctoral researcher at the University of Hong Kong, conducting research in quantum computing and quantum information. He obtained his Ph.D. from Osaka University in 2025 and his M.Sc. from Imperial College London in 2021. His research interests include quantum error mitigation, quantum machine learning, and quantum foundation. He has published over ten papers in top-tier journals including Physical Review Letters and PRX Quantum.


报告主题:The communication power of indefinite causal order


摘要:Quantum theory is in principle compatible with scenarios where physical processes occur in an indefinite order, potentially yielding advantages in a broad range of information processing tasks. However, advantages in communication, the most basic form of information processing, have so far remained controversial and hard to prove. Here we provide a framework for assessing the role of causal order in communication, by comparing different causal structures under the constraint that the allowed operations must not generate signaling from signaling-incapable devices. Using this framework, we establish a clear-cut advantage of indefinite causal or der, and, at the same time, we identify a series of fundamental limits to the communication power of causal structures in quantum mechanics. Notably, we find that a special form of indefinite causal order, obtained by coherently controlling the order of two processes, enhances the transmission of classical messages in a one-shot scenario, but no quantum operation with indefinite order can offer advantages over shared entanglement when asymptotically many uses of the same communication device are employed. Overall, our results unveil non-trivial relations between communication, causal order, entanglement, and no-signaling quantum processes.)



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