[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio9ec72fd0":3},{"user":4,"document":8,"mainDocument":28,"columnUrl":30,"subscription":31,"footer":43,"text":78},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":24,"videoId":6,"liveVideoUrl":6,"duration":25,"price":25,"priceText":26,"priceBadgeText":26,"priceBadgeClass":27,"freeForMinGroupLevel":25,"redirectUrl":6,"readyToStream":5},"dcio9ec72fd0","谷歌要颠覆超级计算机！量子计算板块集体狂飙！","\u002Fdoc\u002F谷歌要颠覆超级计算机量子计算板块集体狂飙_1907078635","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>周二，美股全线下跌，投资者在密切关注消费者通胀报告之际保持谨慎。这份即将公布的报告被视为美联储利率证策走向的关键指标。\u003C\u002Fp>\n\u003Cp>截至收盘，道指跌幅为0.35%；纳指跌幅为0.25%；标普500跌幅为0.30%。\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_df57d64e366e43aebb0d280395f9334a@000000_oswg196312oswg1063oswg419_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\" width=\"606\" height=\"239\">\u003C\u002Ffigure>\n\u003Cp>尽管市场整体表现低迷，但主要指数距离历史高点并不遥远。投资者普遍将目光投向周三即将发布的消费者价格指数（CPI）。市场寄希望于11月的通胀数据能够进一步证明经济正实现“软着陆”，从而为12月美联储降息的普遍预期提供支持。\u003C\u002Fp>\n\u003Cp>英特尔股价今天下跌了3.12%，接近10年来的最低点。\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_2c1d2891783f4c99b555f66137b72066@000000_oswg17701oswg284oswg165_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>这一下跌与台积电创始人张忠谋的言论有关。他批评英特尔在芯片制造领域的战略和执行，认为英特尔未能有效应对市场竞争。张忠谋表示，英特尔应将重心放在提升其在AI芯片设计方面的地位，而不是过度追求成为第三方芯片制造的主力参与者。\u003C\u002Fp>\n\u003Cp>英特尔在半导体行业具有独特优势，不仅负责芯片设计，还拥有强大的制造能力，生产大量自家芯片。相比之下，许多其他芯片设计公司选择将生产外包给第三方，而在晶圆制造领域，台积电无可匹敌。尽管英特尔持续投资扩展和改善其制造能力，但到目前为止，该领域的进展并不显著。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>谷歌Willow芯片颠覆传统计算\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>今天，谷歌（GOOG）股价强势上涨超过5%，这得益于公司前一天发布的一款名为Willow的全新量子计算芯片。这款芯片被谷歌誉为量子计算领域的“突破性进展”，为解决目前行业面临的核心瓶颈提供了全新的思路。\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_5f8ce22fad374e189b94fea693a0e17d@000000_oswg18388oswg273oswg160_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>这一消息也推动了相关量子计算公司的股价上涨\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_80adee9104a549aabb88be304d934a00@000000_oswg22323oswg640oswg146_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>根据谷歌的官方博客介绍，Willow芯片支持的量子计算机能够在短短5分钟内完成一项数学运算，而如果使用传统超级计算机，这一过程需要超过整个宇宙的历史时长——10亿亿年——比宇宙年龄还长！\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_585fc8df32d6419baa074a2f6abb9dd0@000000_oswg36122oswg799oswg197_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>消息一出，连马斯克都惊叹一声“Wow” ！\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_57105d8e0a884db8bfe112523ebbd583@000000_oswg191639oswg894oswg562_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\" width=\"635\" height=\"399\">\u003C\u002Ffigure>\n\u003Cp>OpenAI的首席执行官Sam Altman都特意点赞转发大大的祝贺，可见Willow的成果有多大。\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_1ea9c1ab8c994e589d5f1c2f28066b8a@000000_oswg81882oswg568oswg288_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>这种巨大的效率提升，正是量子计算备受关注的原因所在。与传统计算机使用0和1组成的比特（bit）不同，量子计算机采用量子位（qubit），这种基于量子力学的概念允许量子位同时存在于0和1的叠加态，从而大幅提高计算能力。\u003C\u002Fp>\n\u003Cp>然而，量子位极易受干扰，误差率也随量子位数量增加而显著提升。这是行业内公认的技术难点，而谷歌称，Willow芯片在测试中成功降低了误差率，同时显著提高了量子位的数量，这让量子计算距离实际应用又近了一步。\u003C\u002Fp>\n\u003Cfigure class=\"image\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20241211\u002Fv2_8b784ea3e7bc44e3a87050ca8e48866a@000000_oswg218198oswg422oswg823_img_000?x-oss-process=image\u002Fformat,jpg\u002Finterlace,1\">\u003C\u002Ffigure>\n\u003Cp>当然，谷歌并非这一领域的孤军奋战者。从IBM早在上世纪80年代的探索，到英特尔、微软、亚马逊、霍尼韦尔等巨头的投入，量子计算的赛道早已成为科技巨头必争之地。\u003C\u002Fp>\n\u003Cp>值得注意的是，尽管行业前景令人期待，但离真正的“全面容错”量子计算机——即能够广泛应用于实际场景的量子计算设备——可能还有较长的路要走。根据麦肯锡的调查，72%的业内人士认为，这一目标或许要到2035年后才能实现。\u003C\u002Fp>\n\u003Cp>证府对量子计算的支持力度也在不断加码。美国自2018年起通过《国家量子倡议法案》投入巨资推动相关研究，而在拜登证府时期，《芯片与科学法案》进一步授权为联邦量子计算项目提供更多资金支持。\u003C\u002Fp>\n\u003Cp>对投资者来说，量子计算的真正价值还需要时间去兑现，但这并不妨碍市场对其潜力的想象空间。无论是用于药物研发、新能源探索，还是网络安全防护，量子计算都展示了巨大的应用潜力。甚至苹果已经未雨绸缪，为未来量子计算时代的网络威胁推出了增强版的iMessage安全协议。这一举措不仅是对未来技术冲击的预警，更是对量子计算商业化进程的高度敏感。\u003C\u002Fp>","https:\u002F\u002Fstockwewebfiles.blob.core.windows.net\u002Fweb-202412-stk\u002FUploaderkx35bzfmngo_2024_12_10_17_58_14.jpg","2024-12-11T01:45:43.497","2024.12.11","2024\u002F12\u002F11",38372,[22,23],"INTC","GOOG","Article",0,"免费","success",{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":29,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":24,"videoId":6,"liveVideoUrl":6,"duration":25,"price":25,"priceText":26,"priceBadgeText":26,"priceBadgeClass":27,"freeForMinGroupLevel":25,"redirectUrl":6,"readyToStream":5},[22,23],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":32,"services":33,"recentDocuments":42},"\u003Cfigure 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 StockWe.com 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理千万级股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，精准买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":79,"search":80,"searchPlaceholder":80,"hotContent":81,"draft":82,"noData":83,"searchNoData":84,"edit":85,"editVideo":86,"courseContent":87,"more":88,"buyNow":89,"subscribeNow":90,"encoding":91,"paidContent":92},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]