<p>在周三的一篇科学论文和一系列博客文章中，<strong>Alphabet</strong>（GOOG +0.82%）（GOOGL +0.80%）详细介绍了其所称的 “首个在硬件上实现可验证量子优势的算法”。利用其在 2024 年 12 月宣布的 Willow 量子芯片，谷歌能够以可重复的方式执行特定的量子算法，速度比经典超级计算机快 13,000 倍。</p>
<p>尽管这一发展朝着正确的方向迈出了一步，但量子计算的实际应用可能仍需许多年。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/editorial/images/839407/goog.jpg?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="1480" height="1080" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/editorial/images/839407/goog.jpg"/></p>
<p>图片来源：Getty Images。</p>
<h2>朝着实际应用案例迈进</h2>
<p>谷歌能够在其 Willow 量子芯片上以显著更快的速度执行被称为量子回声的无序时间相关算法，相比之下，最佳经典算法在超级计算机上运行。虽然经典方法可能会得到改进，从而消除这一优势，但截至目前，Willow 仍然占据主导地位。</p>
<p>谷歌对量子回声算法的实现涉及向 Willow 芯片上的量子比特发送信号，扰动一个量子比特，然后反向发送相同的信号，最后测量响应。从理论上讲，这一算法可以帮助研究人员探测量子系统。</p>
<p>在与加州大学伯克利分校的合作实验中，量子回声算法和 Willow 量子芯片被用于研究两种分子。结果与传统方法一致，标志着在药物发现、材料科学和其他应用中使用量子计算的一个重要步骤。</p>
<p>然而，目前谷歌的这一量子计算突破仍使得公司距离能够将该技术应用于有意义的实际案例相去甚远。谷歌声称这 “为实际应用铺平了道路”。</p>
<p><strong>国际商业机器公司</strong>最近也取得了类似的突破，通过将其量子计算机与标准 机器学习 技术结合，展示了在债券交易中计算速度的提升。虽然很难预测量子计算何时会在行业中广泛应用，但显然正在取得进展。</p>
<h2>一只值得投资的量子计算股票</h2>
<p>与其投资于一家需要不断融资以维持生存的纯量子计算公司，不如选择 Alphabet 作为风险较低的替代方案。该公司的核心广告业务极为盈利，其 云计算业务 也受益于对 人工智能 基础设施的强劲需求。即使量子计算的努力需要多年才能实现商业可行性，Alphabet 也能轻松为其提供资金。</p>
<p>在 2025 年第二季度，Alphabet 的收入为 964 亿美元，营业收入为 313 亿美元。公司的大部分收入仍来自广告，但云业务在该季度贡献了约 136 亿美元的收入。Alphabet 计划在今年投入 850 亿美元用于资本支出，以跟上对其云产品和服务的需求。关于 Alphabet 与人工智能初创公司 Anthropic 之间的云计算服务大交易的传闻在本周早些时候浮出水面。</p>
<p>展开</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL0dPT0cucG5nJnc9MTI4?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="Alphabet 股票报价" width="80" height="80" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL0dPT0cucG5nJnc9MTI4"/></p>
<h2>NASDAQ: GOOG</h2>
<p>Alphabet</p>
<p>今日变动</p>
<p>(0.82%) $2.07</p>
<p>当前价格</p>
<p>$254.60</p>
<h3>关键数据点</h3>
<p>市值</p>
<p>$3054B</p>
<p>日内区间</p>
<p>$252.77 - $255.85</p>
<p>52 周区间</p>
<p>$142.66 - $257.88</p>
<p>成交量</p>
<p>149K</p>
<p>平均成交量</p>
<p>22M</p>
<p>毛利率</p>
<p>58.92%</p>
<p>股息收益率</p>
<p>0.00%</p>
<p>在量子计算霸权的竞争中，Alphabet 与 IBM、各种较小的公司如 <strong>IonQ</strong> 和 <strong>Rigetti Computing</strong> 以及 <strong>微软</strong> 展开竞争。值得注意的是，微软正在采用一种新颖的方法，使用其 Majorana 1 量子芯片。该公司正在利用一种特殊类型粒子的特性，并相信可以将该技术扩展到单个芯片上的一百万个量子比特。</p>
<p>与此同时，IBM 专注于将量子计算机与经典方法相结合。这家科技巨头预计将在明年展示科学量子优势，计划在 2029 年前交付一个容错量子计算机，并在 2033 年及以后扩展到有用的规模。</p>
<p>朝着商业可行的量子计算迈进的竞赛可能会有多个赢家，Alphabet 有很大机会成为其中之一。Alphabet 在量子回声算法方面的突破是实现这一目标的重要一步。</p>

谷歌-C

谷歌-A

1 倍做空谷歌 ETF - Direxion

2 倍做多谷歌 ETF - Direxion

<p>谷歌宣布在量子计算方面取得重大突破，推出了其 Willow 量子芯片，通过量子回声算法实现了可验证的量子优势，其运算速度比经典超级计算机快 13,000 倍。尽管取得了这些进展，现实世界的应用仍然遥不可及。字母表公司强大的财务状况得益于其广告和云计算业务，使其能够为量子项目提供资金。与 IBM 等公司的竞争中，字母表公司的进展可能使其在未来的量子技术中占据领导地位</p>

<p>In a scientific paper and a series of blog posts on Wednesday , <strong>Alphabet</strong>( GOOG +0.82%)( GOOGL +0.80%) detailed what it called the &#34;first-ever algorithm to achieve verifiable quantum advantage on hardware.&#34; Using its Willow quantum chip, which the company announced in December 2024, Google was able to perform a specific quantum algorithm 13,000 times faster than a classical supercomputer in a way that can be repeated.</p>
<div class="lb-trans"><p>在周三的一篇科学论文和一系列博客文章中，<strong>Alphabet</strong>（GOOG +0.82%）（GOOGL +0.80%）详细介绍了其所称的 “首个在硬件上实现可验证量子优势的算法”。利用其在 2024 年 12 月宣布的 Willow 量子芯片，谷歌能够以可重复的方式执行特定的量子算法，速度比经典超级计算机快 13,000 倍。</p>
</div><p>While this development is a step in the right direction, real-world applications of quantum computing may still be many years away.</p>
<div class="lb-trans"><p>尽管这一发展朝着正确的方向迈出了一步，但量子计算的实际应用可能仍需许多年。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/editorial/images/839407/goog.jpg" alt="The Google logo on a smartphone." original-src="https://g.foolcdn.com/editorial/images/839407/goog.jpg"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>图片来源：Getty Images。</p>
</div><h2>Moving toward real-world use cases</h2>
<div class="lb-trans"><h2>朝着实际应用案例迈进</h2>
</div><p>Google was able to perform the out-of-order time correlator algorithm, which the company has dubbed Quantum Echoes, dramatically faster on its Willow quantum chip compared to the best classical algorithm running on a supercomputer. It's possible that the classical method could be improved and erase this advantage, but as of now, Willow reigns supreme.</p>
<div class="lb-trans"><p>谷歌能够在其 Willow 量子芯片上以显著更快的速度执行被称为量子回声的无序时间相关算法，相比之下，最佳经典算法在超级计算机上运行。虽然经典方法可能会得到改进，从而消除这一优势，但截至目前，Willow 仍然占据主导地位。</p>
</div><p>Google's implementation of the Quantum Echoes algorithm involves sending a signal into the qubits on the Willow chip, perturbing a single qubit, sending the same signal in reverse, then measuring the response. In theory, this algorithm could help researchers probe quantum systems.</p>
<div class="lb-trans"><p>谷歌对量子回声算法的实现涉及向 Willow 芯片上的量子比特发送信号，扰动一个量子比特，然后反向发送相同的信号，最后测量响应。从理论上讲，这一算法可以帮助研究人员探测量子系统。</p>
</div><p>In a separate experiment in collaboration with the University of California, Berkeley, the Quantum Echoes algorithm and the Willow quantum chip were used to study two molecules. The results lined up with those of traditional methods, marking a step toward using quantum computing in drug discovery, materials science, and other applications.</p>
<div class="lb-trans"><p>在与加州大学伯克利分校的合作实验中，量子回声算法和 Willow 量子芯片被用于研究两种分子。结果与传统方法一致，标志着在药物发现、材料科学和其他应用中使用量子计算的一个重要步骤。</p>
</div><p>Right now, though, this quantum computing breakthrough from Google still leaves the company far from being able to apply the technology to meaningful real-world use cases. Google claims it &#34;paves a path toward real-world applications.&#34;</p>
<div class="lb-trans"><p>然而，目前谷歌的这一量子计算突破仍使得公司距离能够将该技术应用于有意义的实际案例相去甚远。谷歌声称这 “为实际应用铺平了道路”。</p>
</div><p><strong>International Business Machines</strong> recently made a similar breakthrough, demonstrating a speedup in a computation involved in bond trading by pairing its quantum computers with standard machine learning techniques. While it's hard to predict when quantum computing will be widely used in industry, progress is clearly being made.</p>
<div class="lb-trans"><p><strong>国际商业机器公司</strong>最近也取得了类似的突破，通过将其量子计算机与标准 机器学习 技术结合，展示了在债券交易中计算速度的提升。虽然很难预测量子计算何时会在行业中广泛应用，但显然正在取得进展。</p>
</div><h2>A quantum computing stock to own</h2>
<div class="lb-trans"><h2>一只值得投资的量子计算股票</h2>
</div><p>Instead of investing in a pure-play quantum computing company that requires constant fundraising to stay afloat, Alphabet is a lower-risk alternative. The company's core advertising business is wildly lucrative, and its cloud computing business is benefiting from booming demand for artificial intelligence infrastructure. Alphabet can easily fund its quantum computing efforts, even if they take many years to reach commercial viability.</p>
<div class="lb-trans"><p>与其投资于一家需要不断融资以维持生存的纯量子计算公司，不如选择 Alphabet 作为风险较低的替代方案。该公司的核心广告业务极为盈利，其 云计算业务 也受益于对 人工智能 基础设施的强劲需求。即使量子计算的努力需要多年才能实现商业可行性，Alphabet 也能轻松为其提供资金。</p>
</div><p>In the second quarter of 2025, Alphabet generated revenue of $96.4 billion and operating income $31.3 billion. Much of the company's revenue still comes from advertising, but the cloud business contributed about $13.6 billion of revenue during the quarter. Alphabet plans to pour $85 billion into capital expenditures this year to keep up with demand for its cloud products and services. Rumors of a megadeal between Alphabet and AI start-up Anthropic for cloud computing services emerged earlier this week.</p>
<div class="lb-trans"><p>在 2025 年第二季度，Alphabet 的收入为 964 亿美元，营业收入为 313 亿美元。公司的大部分收入仍来自广告，但云业务在该季度贡献了约 136 亿美元的收入。Alphabet 计划在今年投入 850 亿美元用于资本支出，以跟上对其云产品和服务的需求。关于 Alphabet 与人工智能初创公司 Anthropic 之间的云计算服务大交易的传闻在本周早些时候浮出水面。</p>
</div><p>Expand</p>
<div class="lb-trans"><p>展开</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL0dPT0cucG5nJnc9MTI4" alt="Alphabet Stock Quote" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Fart%2Fcompanylogos%2Fmark%2FGOOG.png&amp;w=128&amp;op=resize"/></p>
<h2>NASDAQ: GOOG</h2>
<div class="lb-trans"><h2>NASDAQ: GOOG</h2>
</div><p>Alphabet</p>
<div class="lb-trans"><p>Alphabet</p>
</div><p>Today's Change</p>
<div class="lb-trans"><p>今日变动</p>
</div><p>(0.82%) $2.07</p>
<div class="lb-trans"><p>(0.82%) $2.07</p>
</div><p>Current Price</p>
<div class="lb-trans"><p>当前价格</p>
</div><p>$254.60</p>
<div class="lb-trans"><p>$254.60</p>
</div><h3>Key Data Points</h3>
<div class="lb-trans"><h3>关键数据点</h3>
</div><p>Market Cap</p>
<div class="lb-trans"><p>市值</p>
</div><p>$3054B</p>
<div class="lb-trans"><p>$3054B</p>
</div><p>Day's Range</p>
<div class="lb-trans"><p>日内区间</p>
</div><p>$252.77 - $255.85</p>
<div class="lb-trans"><p>$252.77 - $255.85</p>
</div><p>52wk Range</p>
<div class="lb-trans"><p>52 周区间</p>
</div><p>$142.66 - $257.88</p>
<div class="lb-trans"><p>$142.66 - $257.88</p>
</div><p>Volume</p>
<div class="lb-trans"><p>成交量</p>
</div><p>149K</p>
<div class="lb-trans"><p>149K</p>
</div><p>Avg Vol</p>
<div class="lb-trans"><p>平均成交量</p>
</div><p>22M</p>
<div class="lb-trans"><p>22M</p>
</div><p>Gross Margin</p>
<div class="lb-trans"><p>毛利率</p>
</div><p>58.92%</p>
<div class="lb-trans"><p>58.92%</p>
</div><p>Dividend Yield</p>
<div class="lb-trans"><p>股息收益率</p>
</div><p>0.00%</p>
<div class="lb-trans"><p>0.00%</p>
</div><p>In the battle for quantum computing supremacy, Alphabet is pitted against IBM, various smaller companies like <strong>IonQ</strong> and <strong>Rigetti Computing</strong>, and <strong>Microsoft</strong>. Notably, Microsoft is taking a novel approach with its Majorana 1 quantum chip. The company is leveraging the properties of an exotic type of particle, and it believes it can scale up the technology to a million qubits on a single chip.</p>
<div class="lb-trans"><p>在量子计算霸权的竞争中，Alphabet 与 IBM、各种较小的公司如 <strong>IonQ</strong> 和 <strong>Rigetti Computing</strong> 以及 <strong>微软</strong> 展开竞争。值得注意的是，微软正在采用一种新颖的方法，使用其 Majorana 1 量子芯片。该公司正在利用一种特殊类型粒子的特性，并相信可以将该技术扩展到单个芯片上的一百万个量子比特。</p>
</div><p>Meanwhile, IBM is focusing on combining quantum computers with classical approaches. The tech giant expects to demonstrate scientific quantum advantage by next year, deliver a fault-tolerant quantum computer by 2029, and scale up to a useful size in 2033 and beyond.</p>
<div class="lb-trans"><p>与此同时，IBM 专注于将量子计算机与经典方法相结合。这家科技巨头预计将在明年展示科学量子优势，计划在 2029 年前交付一个容错量子计算机，并在 2033 年及以后扩展到有用的规模。</p>
</div><p>The race toward commercially viable quantum computing may have multiple winners, and there's a good chance Alphabet will be one of them. Alphabet's breakthrough with the Quantum Echoes algorithm is an important step toward that goal.</p>
<div class="lb-trans"><p>朝着商业可行的量子计算迈进的竞赛可能会有多个赢家，Alphabet 有很大机会成为其中之一。Alphabet 在量子回声算法方面的突破是实现这一目标的重要一步。</p>
</div>

Google Announces Quantum Computing Breakthrough, but Real-World Applications Are Still Elusive

- 谷歌利用 Willow 量子芯片实现量子算法速度提升 13,000 倍。  
- 该算法在药物发现和材料科学等领域有潜在应用。  
- 谷歌计划投入 850 亿美元以支持云计算和量子计算发展。  

谷歌宣布在量子计算领域取得突破，但其在现实世界中的应用仍然难以实现