黄仁勋称量子计算正在接近拐点，英伟达将与量子计算公司合作

Core Insights - Huang Renxun, CEO of Nvidia, emphasized the collaboration between Quantum Processing Units (QPU) and Graphics Processing Units (GPU) for next-generation computing [1][3] - Quantum computing is approaching a critical turning point, with significant advancements in logical qubits and error correction [1][3] - Nvidia's CUDA-Q platform allows for hybrid programming, enabling parallel computation across GPU, CPU, and QPU resources [3][4] Quantum Computing Developments - Huang predicts that the number of logical qubits in quantum computers will increase tenfold every five years and a hundredfold every ten years, improving error correction and performance [3] - Nvidia has developed CUDA-Q, an open-source quantum development platform designed for classical quantum computing, which can run on Nvidia's Grace Blackwell chips [3][4] AI Factory Concept - The concept of AI factories, which run AI algorithms and generate tokens, is becoming integral to national infrastructure, with Nvidia actively engaging with global leaders on this topic [4][5] - Nvidia is collaborating with various companies to build AI infrastructure in Europe, with over 20 AI factories planned, including several gigawatt-scale facilities [5] European AI Infrastructure - Nvidia aims to increase AI computing capacity in Europe by tenfold within two years, addressing GPU shortages for researchers and startups [5] - The company is working with 77 countries to establish AI technology centers, focusing on collaboration with startups and ecosystem development [5]