D-Wave将其量子计算机卖给了德国JülichSuperComputing Center，这是欧洲的第一个

周四，加利福尼亚商用量子计算机的供应商，D-Wave Quantum（NYSE：QBTS）宣布将其顶端系统出售给德国JülichUnified Indified Indified Indified Indified Indified Indified Indifiend Informenture用于量子计算。

German high-performance computing (HPC) center JUNIQ has made history by acquiring a top-of-the-line quantum computer from Californian supplier D-Wave Quantum (NYSE: QBTS), marking the first investment by an HPC center in such a system. This move is set to integrate quantum computing into Europe’s first exascale supercomputer, JUPITER.

德国高性能计算（HPC）中心JUNIQ通过从加利福尼亚供应商D-Wave Quantum（NYSE：QBTS）获取顶级量子计算机来制作历史。这一举动设置为将量子计算集成到欧洲的第一个Exascale超级计算机木星。

“With D-Wave’s innovative technology, the integration of the system into JUNIQ and its future coupling with the exascale supercomputer JUPITER, we will take the use of quantum technology in Jülich, and on behalf of Germany and Europe, to a new level,”

“借助D-Wave的创新技术，该系统及其未来与Exascale SuperCuputer Jupiter结合在一起，我们将在Jülich中使用Quantum Technology，并代表德国和欧洲，将其用于新的水平，”

Prof. Kristel Michielsen, head of JUNIQ & Quantum Computing at Jülich Supercomputing Centre (JSC)

教授Jülich超级计算中心（JSC）的Juniq＆Quantum Computing负责人Kristel Michielsen

This acquisition is a significant development for investors tracking quantum computing stocks, as it could pave the way for scaling up the technology. The passively managed Defiance Quantum ETF (QTUM), which holds a broad spectrum of over 70 quantum and semiconductor-related stocks, has seen impressive performance over the past year, tracking 46.78% gains.

对于追踪量子计算股票的投资者来说，此次收购是一个重大的发展，因为它可以为扩大技术铺平道路。被动管理的违背量子ETF（QTUM）拥有超过70个量子和半导体相关的股票，在过去的一年中表现出色，追踪了46.78％的增长。

D-Wave Quantum, which has a 2.16% weight within the ETF, has driven substantial returns for shareholders, delivering a 255% return on its own in the same period. Over the last month, QBTS stock has outperformed the QTUM ETF at 43% vs 8%, respectively, now priced at $6.53 per share.

D-Wave量子在ETF内的重量为2.16％，为股东带来了可观的回报，同一时期单独提供255％的回报。在过去的一个月中，QBTS股票的表现分别以43％和8％的价格优于QTUM ETF，现在的价格为每股6.53美元。

But is quantum computing more hype than substance for long-term value investors? Let’s examine the deal between D-Wave and Jülich in more detail to gain insights.

但是，对于长期价值投资者而言，量子计算是否比物质更多？让我们更详细地研究D-Wave和Jülich之间的交易，以获得见解。

How Quantum Computing Fits in the Picture

量子计算如何适合图片

In essence, quantum computing shifts the paradigm from deterministic to probabilistic computing, enabling simultaneous parallel processing of 2n states. To illustrate, a classic computer would need to sequentially process a function for each possible 2n state, while a quantum computer can execute them all at once.

从本质上讲，量子计算将范式从确定性的计算转移到概率计算，从而使2N状态的同时并行处理。为了说明，经典计算机将需要对每个可能的2N状态进行顺序处理一个函数，而量子计算机可以一次执行它们。

However, due to its probabilistic nature, the output from a quantum computer takes the form of a distribution of possible outcomes. In turn, algorithms are deployed to extract meaningful information from that distribution. Or to frame it differently, quantum computers use quantum interference to suppress incorrect outputs and amplify the correct ones.

但是，由于其概率性质，量子计算机的输出采取了可能结果的分布的形式。反过来，部署算法以从该分布中提取有意义的信息。或以不同的方式进行构架，量子计算机使用量子干扰来抑制不正确的输出并放大正确的输出。

At a practical level, this poses a massive challenge for quantum computing companies like D-Wave, which must overcome the problem of coherence in such a probabilistic system. A recent academic paper highlighted the longest qubit coherence at 1.48 ms, if this is the window before decoherence occurs, it positions quantum computing inherently for short-computation use cases.

在实际层面上，这对像D-Wave这样的量子计算公司构成了巨大挑战，该公司必须克服这种概率系统中的连贯性问题。最近的一篇学术论文强调了1.48毫秒时最长的量子连贯性，如果这是发生变质之前的窗口，则它可以固有地定位量子计算，以固有地定位用于短效率的用例。

Moreover, the necessary quantum error correction (QEC) further erodes that tiny window, delegating QC to small-scale quantum simulations in applications like cryptography or material science. In other words, the fundamental challenge of qubit destabilization due to environmental interactions (decoherence) positions quantum computing in a complementary role, plugged into larger deterministic systems.

此外，必要的量子误差校正（QEC）进一步侵蚀了小窗口，将QC委派给了密码或材料科学等应用中的小规模量子模拟。换句话说，由于环境相互作用（反谐波）在互补角色中量子计算引起的量子不稳定的基本挑战，并插入了更大的确定性系统中。

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D-Wave’s Quantum Computing Angle

D-Wave的量子计算角度

The D-Wave system (Advantage 2) acquired by JUNIQ offers 5,000 qubits computing power. This marks a substantial increase from Rigetti’s latest 84-qubit Ankaa-3. For scaling purposes, D-Wave’s 15-way to 20-way connectivity also provides a more robust baseline to correct for errors, which QEC requires.

JUNIQ收购的D-Wave系统（优势2）提供了5,000 QUIT的计算能力。这标志着Rigetti最新的84 Quitt Ankaa-3的大幅增长。为了缩放目的，D-Wave的15向到20向连接性还提供了更强大的基线，以纠正QEC所需的错误。

Furthermore, D-Wave’s approach differs from Rigetti’s discrete gate-based superconducting qubits by utilizing quantum annealing. While annealing leverages lowest energy states, making it more suitable for optimization tasks, Rigetti’s approach aims for greater versatility by plugging into classic computers.

此外，D-Wave的方法与Rigetti通过使用量子退火通过Rigetti的离散栅极超导量子台不同。当退火利用最低的能量状态（使其更适合优化任务）时，Rigetti的方法旨在通过插入经典计算机来提高多功能性。

For instance, D-Wave’s quantum computer would be a better fit for portfolio optimization tasks, given that annealing is suited for quadratic unconstrained binary optimization (QUBO) problems.

例如，鉴于退火适用于二次不受约束的二进制优化（QUBO）问题，D-Wave的量子计算机将更适合投资组合优化任务。

Rigetti’s approach still requires significant maturation to achieve a universal QC approach for general-purpose computing that relies heavily on error correction and high-fidelity qubits.

Rigetti的方法仍然需要大量成熟，以实现通用QC的通用方法，用于通用计算，这在很大程度上取决于误差校正和高保真量子。

In contrast, D-Wave’s quantum annealing is suited for good-enough, approximate solutions due to its higher error sensitivity. Thus, it’s not that D-Wave has a major quantum breakthrough, but its annealing approach developed the farthest for combinatorial optimization use-cases, making it a prime pick for Europe’s supercomputing center.

相比之下，由于其较高的误差敏感性，D-Wave的量子退火适用于近似解决方案。因此，并不是D-Wave具有重大的量子突破，而是其退火方法开发了组合优化用例最远，这使其成为欧洲超级计算中心的主要选择。

“Our strategic decision to focus development efforts on enhancing the connectivity and coherence of our next annealing quantum computing system has proven successful,”

“我们将开发工作集中在提高下一个退火量子计算系统的连通性和连贯性上的战略决定已被证明成功了，”

Trevor Lanting, chief development officer at D-Wave Quantum

D-Wave Quantum首席发展官Trevor Lanting

Despite its limitations, Advantage 2 represents a major performance improvement, with doubled qubit coherence time and 5x better performance on problems that need a high degree of precision. So far, D-Wave seems to be the go-to solution for quantum-powered applications, having found itself across the board

尽管有局限性，优势2代表了一个重大的性能改善，在需要高度精确度的问题上，量子相干时间的两倍和5倍的表现更好。到目前为止，D-Wave似乎是量子动力应用程序的首选解决方案，