数据与计算发展前沿 ›› 2025, Vol. 7 ›› Issue (2): 31-39.

CSTR: 32002.14.jfdc.CN10-1649/TP.2025.02.004

doi: 10.11871/jfdc.issn.2096-742X.2025.02.004

• 专刊：中国科技云10周年 • 上一篇    下一篇

高能物理与网络：从协同进化到未来共生

齐法制*(),曾珊,崔涛,郑伟,姜晓巍,孙玮,宋云帆   

  1. 中国科学院高能物理研究所，计算中心，北京 100049
  • 收稿日期:2025-02-20 出版日期:2025-04-20 发布日期:2025-04-23
  • 通讯作者: 齐法制
  • 作者简介:齐法制，中国科学院高能物理研究所计算中心主任，研究员，博士生导师，国家高能物理科学数据中心副主任，中国散裂中子源（CSNS）、高能同步辐射光源（HEPS）计算与网络系统负责人，CCF会员。
    本文中负责文章整体结构设计、作者会议召集，指导文中各部分的撰写，并主笔撰写了“引言”部分。
    QI Fazhi is a research professor and a Ph.D. supervisor at the Institute of High Energy Physics (IHEP), Chinese Academy of Sciences. He currently serves as the Director of the Computing Center at IHEP and Deputy Director of the National High Energy Physics Scientific Data Center. He leads the Computing and Network Systems for major national scientific facilities including the China Spallation Neutron Source (CSNS) and the High Energy Photon Source (HEPS). He is also a member of CCF.
    In this paper, he is responsible for designing the overall article structure, convening authors’meetings, providing guidance on the writing of each section, and writing the “Introduction” section.
    E-mail: qfz@ihep.ac.cn
  • 基金资助:
    国家自然科学基金“高能物理云网融合数据中心网络关键技术研究”(12175258)

High Energy Physics and Network: from Coevolution to Symbiosis

QI Fazhi*(),ZENG Shan,CUI Tao,ZHENG Wei,JIANG Xiaowei,SUN Wei,SONG Yunfan   

  1. Department of Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2025-02-20 Online:2025-04-20 Published:2025-04-23
  • Contact: QI Fazhi

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摘要：

【目的】本文深入探讨高能物理与网络技术的协同发展进程。【历史】自高能物理实验开展以来，海量数据的产生与处理需求推动了网络技术的升级，从早期的数据传输网络逐步进化到如今的高速、稳定且智能化的网络架构；同时，网络技术的革新又为高能物理实验提供了更强大的数据处理能力和更高效的全球协作平台，二者在相互促进中协同进化。【现状】如今，在智能时代，它们已进入深度共生阶段，实现了数据实时传输、实验设备远程控制以及基于人工智能的数据处理分析等。【结论与展望】展望未来，随着量子网络、6G等新兴技术的融入，高能物理与网络将迎来更紧密的共生模式，有望在探索宇宙奥秘、基础物理理论突破等方面取得重大进展。

关键词: 高能物理, 网络技术, 协同进化, 未来共生

Abstract:

[Objective] This paper delves into the co-development process of high energy physics and network technologies. [History] Since the inception of high energy physics experiments, the need for generating and processing massive amounts of data have propelled the upgrading of network technologies. Starting from the early data transmission networks, they have gradually evolved into today’s high-speed, stable, and intelligent network architectures. Meanwhile, the innovation of network technologies has provided high energy physics experiments with more powerful data processing capabilities and a more efficient global collaboration platform. The two have co-evolved in a mutually promoting manner. [Present] At present, in the intelligent era, they have entered a stage of deep symbiosis, achieving realtime data transmission, remote control of experimental equipment, and data processing and analysis based on artificial intelligence. [Conclusions and prospects] Looking to the future, with the integration of emerging technologies such as quantum computing and 6G, high energy physics and the network will embrace an even closer symbiotic model, which is expected to lead to significant progress in exploring the mysteries of the universe and breaking throughs in basic physical theories.

Key words: high energy physics, network technologies, co-evolution, future symbiosis