D-Wave將其量子計算機賣給了德國JülichSuperComputing Center，這是歐洲的第一個

週四，加利福尼亞商用量子計算機的供應商，D-Wave Quantum（NYSE：QBTS）宣布將其頂端系統出售給德國JülichUnified Indified Indified Indified Indified Indified Indified Indifiend Informenture用於量子計算。

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.

德國高性能計算（HPC）中心JUNIQ通過從加利福尼亞供應商D-Wave Quantum（NYSE：QBTS）獲取頂級量子計算機來製作歷史。這一舉動設置為將量子計算集成到歐洲的第一個Exascale超級計算機木星。

“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的創新技術，該系統及其未來與Exascale SuperCuputer Jupiter結合在一起，我們將在Jülich中使用Quantum Technology，並代表德國和歐洲，將其用於新的水平，”

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

教授Jülich超級計算中心（JSC）的Juniq＆Quantum Computing負責人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.

對於追踪量子計算股票的投資者來說，此次收購是一個重大的發展，因為它可以為擴大技術鋪平道路。被動管理的違背量子ETF（QTUM）擁有超過70個量子和半導體相關的股票，在過去的一年中表現出色，追踪了46.78％的增長。

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內的重量為2.16％，為股東帶來了可觀的回報，同一時期單獨提供255％的回報。在過去的一個月中，QBTS股票的表現分別以43％和8％的價格優於QTUM ETF，現在的價格為每股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，對於長期價值投資者而言，量子計算是否比物質更多？讓我們更詳細地研究D-Wave和Jülich之間的交易，以獲得見解。

How Quantum Computing Fits in the Picture

量子計算如何適合圖片

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.

從本質上講，量子計算將範式從確定性的計算轉移到概率計算，從而使2N狀態的同時並行處理。為了說明，經典計算機將需要對每個可能的2N狀態進行順序處理一個函數，而量子計算機可以一次執行它們。

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，由於其概率性質，量子計算機的輸出採取了可能結果的分佈的形式。反過來，部署算法以從該分佈中提取有意義的信息。或以不同的方式進行構架，量子計算機使用量子乾擾來抑制不正確的輸出並放大正確的輸出。

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.

在實際層面上，這對像D-Wave這樣的量子計算公司構成了巨大挑戰，該公司必須克服這種概率系統中的連貫性問題。最近的一篇學術論文強調了1.48毫秒時最長的量子連貫性，如果這是發生變質之前的窗口，則它可以固有地定位量子計算，以固有地定位用於短效率的用例。

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，必要的量子誤差校正（QEC）進一步侵蝕了小窗口，將QC委派給了密碼或材料科學等應用中的小規模量子模擬。換句話說，由於環境相互作用（反諧波）在互補角色中量子計算引起的量子不穩定的基本挑戰，並插入了更大的確定性系統中。

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D-Wave’s Quantum Computing Angle

D-Wave的量子計算角度

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收購的D-Wave系統（優勢2）提供了5,000 QUIT的計算能力。這標誌著Rigetti最新的84 Quitt Ankaa-3的大幅增長。為了縮放目的，D-Wave的15向到20向連接性還提供了更強大的基線，以糾正QEC所需的錯誤。

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的方法與Rigetti通過使用量子退火通過Rigetti的離散柵極超導量子台不同。當退火利用最低的能量狀態（使其更適合優化任務）時，Rigetti的方法旨在通過插入經典計算機來提高多功能性。

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，鑑於退火適用於二次不受約束的二進制優化（QUBO）問題，D-Wave的量子計算機將更適合投資組合優化任務。

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，以實現通用QC的通用方法，用於通用計算，這在很大程度上取決於誤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，由於其較高的誤差敏感性，D-Wave的量子退火適用於近似解決方案。因此，並不是D-Wave具有重大的量子突破，而是其退火方法開發了組合優化用例最遠，這使其成為歐洲超級計算中心的主要選擇。

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

“我們將開發工作集中在提高下一個退火量子計算系統的連通性和連貫性上的戰略決定已被證明成功了，”

Trevor Lanting, chief development officer at D-Wave Quantum

D-Wave Quantum首席發展官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

儘管有局限性，優勢2代表了一個重大的性能改善，在需要高度精確度的問題上，量子相干時間的兩倍和5倍的表現更好。到目前為止，D-Wave似乎是量子動力應用程序的首選解決方案，