超导量子计算

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技术突破,超导量子计算专项合作计划启动
Xuan Gu Bao· 2025-08-13 14:52
据中证报报道,中国计算机学会(CCF)携手业内企业发起"超导量子计算专项合作计划"。计划基于双 方在超导量子计算领域的合作与专项科研经费,聚焦硬件操控、软件编译、算法设计、量子经典混合等 量子计算前沿问题,围绕9个子课题和开放型选题开展研究攻关。旨在为广大创新学者提供使用量子计 算资源、探索量子计算研究与应用落地的平台。 中证报指出,量子计算作为下一代信息技术的核心驱动力,正从实验室走向产业化应用。技术突破、政 策支持与市场需求共同驱动产业快速发展,其应用场景从专用计算向通用计算拓展,推动金融、医药、 能源等领域深度变革。凭借政策支持与工程化能力,中国有望在量子通信、光量子计算等领域实现局部 突破。 公司方面,据中证报表示,A股相关概念股主要有国盾量子 、光迅科技等。 *免责声明:文章内容仅供参考,不构成投资建议 *风险提示:股市有风险,入市需谨慎 ...
聚焦量子信息、气象赋能、复杂系统 中国科协年会举办三场专题论坛
Zhong Guo Xin Wen Wang· 2025-07-12 09:51
Group 1: Quantum Information Technology and Applications - The "Quantum Information Technology and Applications" forum focuses on promoting academic exchange and the transformation of achievements in quantum information technology, aiming to foster deep integration of industry, academia, and research [2] - Experts discussed key areas such as quantum computing, quantum communication, and quantum precision measurement, sharing insights on the architecture and technical routes of superconducting quantum computing, ion trap quantum computing, and neutral atom quantum computing [2] - The forum highlighted the importance of addressing cosmic ray-related errors in superconducting qubit arrays as quantum computing devices scale up, and presented advancements in continuous variable quantum key distribution technology [2] Group 2: Meteorology Empowering Transportation - The "Meteorology Empowering Transportation" forum aimed to explore the integration of meteorology and transportation, discussing topics like low-carbon transportation, high-impact weather, and low-altitude economy meteorological support [5] - Experts emphasized the significance of meteorology in supporting the construction of a strong transportation system, advocating for breaking down industry barriers and enhancing collaboration for technological innovation [5] - The forum aimed to provide strong support for the construction of a transportation powerhouse through innovative applications of meteorological technology in the transportation sector [5] Group 3: Complex Systems Self-Learning 'Inverse Optimal' Theory and Methods - The "Complex Systems Self-Learning 'Inverse Optimal' Theory and Methods" forum focused on optimal operation modeling of complex systems, discussing non-consensus topics in complex nonlinear systems [7] - Key reports included discussions on intelligent-enhanced predictive control, collaborative control and optimization of cyber-physical energy systems, and the application of generative AI in complex power systems [7] - Roundtable discussions addressed hot topics in interdisciplinary fields, such as the application of large model reasoning technology in intelligent control and the challenges of embodied intelligent inverse optimal theory in robotic systems [7]