中国移动研究院高级研究员潘成康聚焦实践瓶颈："量子计算正从NISQ时代向规模模拟与早期容错双轨 并进。产业化破局关键，在于构建算法交叉验证、误差溯源、学科评估三级体系，以医药精度、金融收 益等场景标准打通商业化"最后一公里"。 02 发展路径：技术路线的战略分野 在量子计算的产业化终极路径上，专家们提出了截然不同的技术路线，观点的交锋折射出量子技术发展 的关键抉择。 2025世界人工智能大会（WAIC）于7月26日至 28日迎来年度思辨高潮，作为大会亮点，思辨会系列活 动推出八场专业对话，搭建跨学科交流平台。量子科技专场聚焦"量子计算、量子模拟"等核心命题，汇 聚专家从基础研究、应用场景、技术路线至算法突破展开多维思辨，为量子模拟发展指明方向。 图灵量子首席运营官杨林、上海交大无锡光子芯片研究院科技发展部部长方啸天、中国移动（600941） 研究院高级研究员潘成康、郑州大学国家超级计算郑州中心副教授陈强、上海交通大学助理研究员窦建 鹏以及图灵量子算法开发负责人赵翔等企业家、专家学者参会讨论，共话量子模拟的未来趋势，赋能科 技创新产业（300832）。 01 基础研究与应用场景：瓶颈共识下的突破路径 量子模拟为 ...

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted the importance of quantum simulation in overcoming classical computing limitations, with discussions focusing on the future trends and technological advancements in quantum technology [1][6] Group 1: Fundamental Research and Application Scenarios - Quantum simulation is seen as a key pathway to address the limitations of classical computing, but current NISQ devices face challenges such as hardware noise and modeling errors [3] - There is a debate on the core bottlenecks: one side emphasizes hardware measurement capabilities, while the other points to the lag in practical algorithms and software adaptation [3] - The relationship between computational power and understanding of material design is becoming increasingly intertwined, influencing scientific research and daily life [3] Group 2: Development Pathways - Experts propose differing technological routes for the industrialization of quantum computing, reflecting critical choices in quantum technology development [4] - One perspective advocates for photonic quantum computing through chip integration to achieve quantum superiority, which could lead to efficient simulations of molecular systems [4] - Another viewpoint stresses the need for collaborative innovation in algorithms, transmission, and architecture to address challenges in biomedicine and finance [4] Group 3: Algorithm Breakthroughs - Quantum simulation is described as a tool that can accurately replicate molecular dynamics, significantly reducing computational resource requirements for complex simulations [5] - Innovations in algorithms are expected to make complex molecular simulations feasible within the next five years, driving new material designs [5] Group 4: Diverse Perspectives - The discussions at the conference reached a consensus on the potential of quantum simulation in optimization and material simulation, while also highlighting the need to overcome foundational research and industrialization challenges [6] - The quantum computing industry is progressing steadily, with companies like Turing Quantum showcasing the potential for industrial applications through advancements in photonic quantum technology [6] - The breakthroughs in quantum hardware and algorithms are anticipated to redefine the boundaries of scientific research and industrial innovation [6]

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted the importance of quantum simulation in overcoming classical computing limitations, with a focus on interdisciplinary dialogue and expert discussions on future trends in quantum technology [1][6] Group 1: Fundamental Research and Application Scenarios - Quantum simulation is seen as a key pathway to address the limitations of classical computing, but current NISQ devices face challenges such as hardware noise and modeling errors [3] - There is a debate on the core bottlenecks: one side emphasizes hardware measurement capabilities, while the other points to the lag in practical algorithms and software adaptation [3] - The relationship between computational power and understanding of material design is becoming increasingly intertwined, influencing scientific research and daily life [3] Group 2: Development Pathways - Experts propose differing technological routes for the industrialization of quantum computing, reflecting critical choices in the development of quantum technology [4] - One perspective advocates for photonic quantum computing through chip integration to achieve quantum superiority, which could lead to efficient simulations of molecular systems [4] - Another viewpoint stresses the need for collaborative innovation in algorithms, transmission, and architecture to address challenges in biomedicine and financial forecasting [4] Group 3: Algorithm Breakthroughs - Quantum simulation is described as a tool that can accurately replicate molecular processes, significantly reducing computational resource requirements for complex simulations [5] - Innovations in algorithms are expected to make complex molecular simulations feasible within the next five years, driving new material designs [5] Group 4: Diverse Perspectives - The discussions at the conference reached a consensus on the potential of quantum simulation in optimization and material simulation, while also recognizing the need to overcome foundational research and industrialization challenges [6] - The quantum computing industry is progressing steadily, with companies like Turing Quantum showcasing the potential for industrial applications through advancements in photonic quantum technology [6] - The breakthroughs in quantum hardware and algorithms are poised to redefine the boundaries of scientific research and industrial innovation, prompting reflections on the future of human civilization [6]