Core Insights - Shanghai Jiao Tong University has officially launched the world's first quantum scientific computing platform, UnitaryLab, which aims to overcome the computational power limitations of classical computing by developing quantum algorithms for various fields such as differential equations, numerical linear algebra, optimization, machine learning, and statistical computing [1][2] Group 1: Platform Features - UnitaryLab1.0 focuses on solving ordinary and partial differential equations, achieving quantum algorithm construction, solution, and quantum circuit design, thus breaking through traditional computational efficiency bottlenecks [1] - The platform is built on the "Schrödingerization" series of quantum algorithms proposed by the research teams, which innovatively transform partial differential equations into a form that can be directly processed by quantum systems [2] - The platform supports dual scenarios of "research + industry," allowing for a single platform to meet multiple needs, thereby enriching quantum teaching tools in universities and connecting talent cultivation, research innovation, and industrial application [3] Group 2: Industry Impact - UnitaryLab1.0 significantly lowers the barriers to using quantum computing, enabling engineers, researchers, and students from non-quantum fields to quickly engage in quantum scientific computing and engineering simulations, thus accelerating the problem-solving efficiency [2] - The platform has already attracted positive testing from domestic and international research teams and has established collaborations with leading domestic quantum hardware companies for real machine verification [3] - Future plans include further innovation in quantum algorithms, development of specialized hardware for algorithm adaptation, and the establishment of a standardized system for quantum solutions to partial differential equations, promoting the transition from fragmented exploration to standardized implementation [3]
科学计算软件的“量子跃迁” 上海交大全球首发“量子科学计算平台UnitaryLab”
Zhong Guo Xin Wen Wang·2025-11-23 01:44