<p>许多科技公司正在积极追求量子计算，这有其充分的理由。量子计算机能够进行复杂的计算，而这些计算在今天最强大的超级计算机上是不可行的。</p>
<p>考虑到这些开创性设备的能力，投资这一领域是有意义的。在可选择的公司中，值得关注的有 <strong>Quantum Computing Inc.</strong>(QUBT -4.63%)，也称为 QCi，以及 <strong>Nvidia</strong>(NVDA -1.77%)。</p>
<p>前者是一家专注于量子计算的公司。后者是一家在人工智能半导体芯片市场占据主导地位的老牌科技巨头。</p>
<p>这两者都是量子时代的稳健投资，还是其中一个更具优势？让我们更仔细地了解每家公司，以便理解哪一个更胜一筹以及原因。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MzE0NzgvaGFuZC1ob2xkaW5nLWRpZ2l0YWwtd29ybGQtd2l0aC1mbG9hdGluZy1pY29uc19nZXR0eWltYWdlcy0xNDA3NTI5MjEyLTEyMDB4ODAwLTliOWYxODUucG5nJnc9NzAw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="700" height="466" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MzE0NzgvaGFuZC1ob2xkaW5nLWRpZ2l0YWwtd29ybGQtd2l0aC1mbG9hdGluZy1pY29uc19nZXR0eWltYWdlcy0xNDA3NTI5MjEyLTEyMDB4ODAwLTliOWYxODUucG5nJnc9NzAw"/></p>
<p>图片来源：Getty Images。</p>
<h2>了解 Quantum Computing Inc.</h2>
<p>作为一家专注于量子计算的公司，QCi 可以将所有资源投入到量子技术的开发和商业化中。与像 Nvidia 这样的综合性公司不同，QCi 几乎没有转向其他业务领域的风险。</p>
<p>这使得 QCi 能够快速朝着量子优势的方向发展，量子优势是指量子设备能够比当前计算机更有效地解决有用的现实问题的时刻。</p>
<p>QCi 通往量子优势的路径是利用光粒子，即光子，来驱动其设备。这种方法能够支持广泛的应用。</p>
<p>例如，它开发了用于长距离和干扰情况下的遥感和成像设备。因此，QCi 与 NASA 签订了一份合同。</p>
<p>然而，其技术尚未转化为收入增长。在第二季度，销售额仅为 61,000 美元，而去年同期为 183,000 美元。</p>
<p>尽管第二季度收入暴跌 67%，但 QCi 的运营费用同比飙升 91%，导致运营亏损达到 1020 万美元，几乎是 2024 年 530 万美元亏损的两倍。这是一个令人担忧的趋势，但公司在第二季度资产负债表上拥有的 3.488 亿美元现金储备可以在寻找销售的短期内维持运营。</p>
<h2>Nvidia 的量子计算方法</h2>
<p>Nvidia 在构建尖端技术方面有着悠久的历史。这种对创新的关注现在扩展到量子计算芯片的开发。</p>
<p>当前的人工智能时代是由 Nvidia 在 1999 年发明的图形处理单元（GPU）的开创性工作引领的。GPU 并不是为了取代经典计算机的 CPU 而设计的。相反，GPU 作为处理器，处理专门的任务，例如处理 AI 所需的数据。</p>
<p>现在，Nvidia 将相同的框架应用于其量子处理单元（QPU）。该公司并不是试图取代 GPU，而是希望它与 QPU 协同工作。</p>
<p>这很重要，因为量子计算机面临的一个关键挑战是，能够实现惊人计算能力的原子粒子容易出错。当 QPU 执行计算时，GPU 可以提供实时错误修正。</p>
<p>新的量子计算前沿最终可能会像人工智能一样推动 Nvidia 的收入增长。该公司的 GPU 技术在截至 7 月 27 日的财年第二季度产生了 467 亿美元的销售额，同比增长 56%，因为云服务提供商大量购买 GPU 以支持其 AI 系统。</p>
<p>在当前人工智能热潮的推动下，Nvidia 预计第三季度将继续强劲的销售增长，预计收入为 540 亿美元，较去年 35.1 亿美元大幅提升。一旦实现量子优势，量子计算机可能会引领 Nvidia 持续收入增长的下一个阶段。</p>
<h2>在 Quantum Computing Inc.和 Nvidia 股票之间做出选择</h2>
<p>尽管这项技术具有与人工智能相同的变革潜力，但量子计算机仍处于初期阶段。这些机器可能需要数年才能在研究圈之外得到采用。</p>
<p>因此，目前无法确定 Quantum Computing Inc.或 Nvidia 的技术最终是否会成功。因此，在决定现在投资哪一家公司时，另一个需要考虑的因素是股价估值。</p>
<p>这可以通过查看市销率（P/S 比率）来确定，这是一种常用的指标，衡量投资者愿意为过去 12 个月产生的每一美元收入支付多少。</p>
<p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/d33da321d1da91be3ba489e4b629d7a2.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="720" height="456" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/d33da321d1da91be3ba489e4b629d7a2.png"/></p>
<p>数据来源：YCharts。</p>
<p>图表显示，QCi 的市销率在过去一年中飙升，与 Nvidia 相比异常高。这表明 Quantum Computing Inc.的股票被高估。</p>
<p>考虑到 Nvidia 更好的股票估值、持续的销售增长和技术成功的历史，这家半导体巨头在量子计算领域是优于 QCi 的投资选择。</p>

英伟达

2 倍做多英伟达 ETF - GraniteShares

南方两倍做多英伟达

南方两倍做空英伟达

英伟达期权收益策略 ETF - YieldMax

1 倍做空英伟达 ETF - Direxion

2 倍做多 NVDA ETF - T-Rex

2 倍做空 NVDA ETF - T-Rex

半导体 3 倍做多 - Direxion

<p>这篇文章将量子计算公司（Quantum Computing Inc.，简称 QCi）与英伟达（Nvidia）作为量子计算领域的投资选项进行了比较。QCi 作为一家纯粹的量子公司，尽管拥有强大的现金储备，但面临着显著的收入下降和高额的运营亏损。相比之下，英伟达作为一家成熟的科技领袖，正在利用其 GPU 技术推动量子计算，展现出令人印象深刻的收入增长。分析表明，英伟达更好的股票估值和持续的销售增长使其在量子计算领域成为比 QCi 更优越的投资选择</p>

<p>Many technology companies are aggressively pursuing quantum computing, and for good reason. Quantum computers are capable of complicated calculations that aren't feasible with today's mightiest supercomputers.</p>
<div class="lb-trans"><p>许多科技公司正在积极追求量子计算，这有其充分的理由。量子计算机能够进行复杂的计算，而这些计算在今天最强大的超级计算机上是不可行的。</p>
</div><p>Given the capability of these groundbreaking devices, investing in the field makes sense. Among the businesses to choose from, two to consider are <strong>Quantum Computing Inc.</strong>(QUBT -4.63%), which also refers to itself as QCi, and <strong>Nvidia</strong>(NVDA -1.77%).</p>
<div class="lb-trans"><p>考虑到这些开创性设备的能力，投资这一领域是有意义的。在可选择的公司中，值得关注的有 <strong>Quantum Computing Inc.</strong>(QUBT -4.63%)，也称为 QCi，以及 <strong>Nvidia</strong>(NVDA -1.77%)。</p>
</div><p>The former is a pure-play quantum company. The latter is a veteran tech titan that has dominated the semiconductor chip market for artificial intelligence.</p>
<div class="lb-trans"><p>前者是一家专注于量子计算的公司。后者是一家在人工智能半导体芯片市场占据主导地位的老牌科技巨头。</p>
</div><p>Are both solid investments for the quantum era, or does one stand out as the better choice? Here's a closer look into each business to understand which one wins and why.</p>
<div class="lb-trans"><p>这两者都是量子时代的稳健投资，还是其中一个更具优势？让我们更仔细地了解每家公司，以便理解哪一个更胜一筹以及原因。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MzE0NzgvaGFuZC1ob2xkaW5nLWRpZ2l0YWwtd29ybGQtd2l0aC1mbG9hdGluZy1pY29uc19nZXR0eWltYWdlcy0xNDA3NTI5MjEyLTEyMDB4ODAwLTliOWYxODUucG5nJnc9NzAw" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F831478%2Fhand-holding-digital-world-with-floating-icons_gettyimages-1407529212-1200x800-9b9f185.png&amp;op=resize&amp;w=700"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>图片来源：Getty Images。</p>
</div><h2>A look into Quantum Computing Inc.</h2>
<div class="lb-trans"><h2>了解 Quantum Computing Inc.</h2>
</div><p>As a company specializing solely on quantum computing, QCi can dedicate all its resources to the development and commercialization of quantum tech. Unlike a conglomerate such as Nvidia, there's little risk of a priority shift to another part of its business.</p>
<div class="lb-trans"><p>作为一家专注于量子计算的公司，QCi 可以将所有资源投入到量子技术的开发和商业化中。与像 Nvidia 这样的综合性公司不同，QCi 几乎没有转向其他业务领域的风险。</p>
</div><p>This allows QCi to drive hard and fast toward quantum advantage, which marks the point when a quantum device can solve useful, real-world problems more effectively than current computers.</p>
<div class="lb-trans"><p>这使得 QCi 能够快速朝着量子优势的方向发展，量子优势是指量子设备能够比当前计算机更有效地解决有用的现实问题的时刻。</p>
</div><p>QCi's path to quantum advantage is to employ light particles, called photons, to power its devices. The approach enables a wide range of applications.</p>
<div class="lb-trans"><p>QCi 通往量子优势的路径是利用光粒子，即光子，来驱动其设备。这种方法能够支持广泛的应用。</p>
</div><p>For example, it developed remote sensing and imaging equipment for use over long distances and through interference. As a result, QCi won a contract with NASA.</p>
<div class="lb-trans"><p>例如，它开发了用于长距离和干扰情况下的遥感和成像设备。因此，QCi 与 NASA 签订了一份合同。</p>
</div><p>However, its tech hasn't translated into revenue growth. In the second quarter, sales totaled a mere $61,000 compared to $183,000 in the prior year.</p>
<div class="lb-trans"><p>然而，其技术尚未转化为收入增长。在第二季度，销售额仅为 61,000 美元，而去年同期为 183,000 美元。</p>
</div><p>While Q2 revenue plunged 67%, QCi's operating expenses soared 91% year over year, resulting in an operating loss of $10.2 million, nearly double its $5.3 million loss in 2024. This is a concerning trend, but the company's cash hoard of $348.8 million on its Q2 balance sheet can sustain operations in the short term while it searches for sales.</p>
<div class="lb-trans"><p>尽管第二季度收入暴跌 67%，但 QCi 的运营费用同比飙升 91%，导致运营亏损达到 1020 万美元，几乎是 2024 年 530 万美元亏损的两倍。这是一个令人担忧的趋势，但公司在第二季度资产负债表上拥有的 3.488 亿美元现金储备可以在寻找销售的短期内维持运营。</p>
</div><h2>Nvidia's quantum computing approach</h2>
<div class="lb-trans"><h2>Nvidia 的量子计算方法</h2>
</div><p>Nvidia has a long history of building cutting-edge tech. This focus on innovation now extends to the development of chips for quantum computing.</p>
<div class="lb-trans"><p>Nvidia 在构建尖端技术方面有着悠久的历史。这种对创新的关注现在扩展到量子计算芯片的开发。</p>
</div><p>The current AI era was ushered in by Nvidia's seminal work on its graphics processing unit (GPU), invented in 1999. The GPU wasn't designed to replace the classic computer's CPU. Instead, GPUs served as separate processors handling specialized tasks, such as crunching the data used by AI.</p>
<div class="lb-trans"><p>当前的人工智能时代是由 Nvidia 在 1999 年发明的图形处理单元（GPU）的开创性工作引领的。GPU 并不是为了取代经典计算机的 CPU 而设计的。相反，GPU 作为处理器，处理专门的任务，例如处理 AI 所需的数据。</p>
</div><p>Now, Nvidia is applying the same framework to its quantum processing unit (QPU). The company is not trying to supplant the GPU, but rather, have it work in concert with the QPU.</p>
<div class="lb-trans"><p>现在，Nvidia 将相同的框架应用于其量子处理单元（QPU）。该公司并不是试图取代 GPU，而是希望它与 QPU 协同工作。</p>
</div><p>This is important because a key challenge with quantum computers is that the atomic particles that enable phenomenal computational abilities are prone to making mistakes. As the QPU executes calculations, GPUs can deliver real-time error correction.</p>
<div class="lb-trans"><p>这很重要，因为量子计算机面临的一个关键挑战是，能够实现惊人计算能力的原子粒子容易出错。当 QPU 执行计算时，GPU 可以提供实时错误修正。</p>
</div><p>The new quantum computing frontier could eventually boost Nvidia's revenue much like AI has done. The company's GPU technology produced sales of $46.7 billion in its fiscal second quarter, ended July 27. That's an impressive 56% year-over-year increase, as cloud service providers gobbled up GPUs to power their AI systems.</p>
<div class="lb-trans"><p>新的量子计算前沿最终可能会像人工智能一样推动 Nvidia 的收入增长。该公司的 GPU 技术在截至 7 月 27 日的财年第二季度产生了 467 亿美元的销售额，同比增长 56%，因为云服务提供商大量购买 GPU 以支持其 AI 系统。</p>
</div><p>Propelled by the current AI boom, Nvidia expects strong sales growth to continue in Q3 with estimated revenue of $54 billion, a substantial step up from the prior year's $35.1 billion. Once quantum advantage is reached, quantum computers could lead to the next phase of sustained revenue growth for Nvidia.</p>
<div class="lb-trans"><p>在当前人工智能热潮的推动下，Nvidia 预计第三季度将继续强劲的销售增长，预计收入为 540 亿美元，较去年 35.1 亿美元大幅提升。一旦实现量子优势，量子计算机可能会引领 Nvidia 持续收入增长的下一个阶段。</p>
</div><h2>Making a choice between Quantum Computing Inc. and Nvidia stock</h2>
<div class="lb-trans"><h2>在 Quantum Computing Inc.和 Nvidia 股票之间做出选择</h2>
</div><p>Although the technology holds the same kind of transformative potential as AI, quantum computers are still nascent. It could be years before these machines are ready for adoption beyond research circles.</p>
<div class="lb-trans"><p>尽管这项技术具有与人工智能相同的变革潜力，但量子计算机仍处于初期阶段。这些机器可能需要数年才能在研究圈之外得到采用。</p>
</div><p>Consequently, there's no way to know at this point whether Quantum Computing Inc. or Nvidia's tech will eventually prove successful. So to decide which to invest in now, another factor to consider is share price valuation.</p>
<div class="lb-trans"><p>因此，目前无法确定 Quantum Computing Inc.或 Nvidia 的技术最终是否会成功。因此，在决定现在投资哪一家公司时，另一个需要考虑的因素是股价估值。</p>
</div><p>This can be determined by looking at the price-to-sales (P/S) ratio, a commonly used metric measuring how much investors are willing to pay for every dollar of revenue generated over the trailing twelve months.</p>
<div class="lb-trans"><p>这可以通过查看市销率（P/S 比率）来确定，这是一种常用的指标，衡量投资者愿意为过去 12 个月产生的每一美元收入支付多少。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/d33da321d1da91be3ba489e4b629d7a2.png" alt="" original-src="https://media.ycharts.com/charts/d33da321d1da91be3ba489e4b629d7a2.png"/></p>
<p>Data by YCharts.</p>
<div class="lb-trans"><p>数据来源：YCharts。</p>
</div><p>The chart reveals QCi's P/S multiple has soared over the past year, and is shockingly high compared to Nvidia's. This suggests Quantum Computing Inc. shares are overpriced.</p>
<div class="lb-trans"><p>图表显示，QCi 的市销率在过去一年中飙升，与 Nvidia 相比异常高。这表明 Quantum Computing Inc.的股票被高估。</p>
</div><p>Taking into consideration Nvidia's better stock valuation, ongoing sales growth, and history of technological success, the semiconductor giant is the superior investment over QCi in the field of quantum computing.</p>
<div class="lb-trans"><p>考虑到 Nvidia 更好的股票估值、持续的销售增长和技术成功的历史，这家半导体巨头在量子计算领域是优于 QCi 的投资选择。</p>
</div>

Better Quantum Computing Stock: Quantum Computing Inc. vs. Nvidia

- 多家科技公司正在积极追求量子计算。  
- Quantum Computing Inc. 和 Nvidia 是值得关注的两家公司。  
- Nvidia 在量子计算领域的投资回报更具优势。

哪只量子计算股票更好：Quantum Computing Inc.与 NVIDIA