NVIDIA發佈首個開源量子AI模型“NVIDIA Ising”，旨在解決量子處理器校準和糾錯兩大難題。該模型包含Ising Calibration和Ising Decoding兩部分，其中Ising Calibration作爲350億參數的視覺語言模型，可將校準時間從數天縮短至數小時，顯著提升量子計算實用化效率。
英偉達推出全球首個開源量子AI模型系列“Ising”，旨在攻克量子計算核心工程瓶頸，助力研發容錯量子處理器。受此消息提振，量子科技板塊4月15日早盤集體上漲，神州信息一度漲停，中國西電、國盾量子、羅博特科等概念股領漲，其中羅博特科獲主力資金淨流入近5億元。
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