思辨会 | 量子模拟：技术路线激辩与产业化破局——WAIC思辨会顶尖学者共议发展路径

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]