Analyst's Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or ...

"Using light to readout the state of a superconducting qubit will remove a significant amount of heat load on cryogenic systems and therefore allow to overcome one of the critical bottlenecks in building a universal quantum computer. We are excited to take our developments to the next level and work with our partners in demonstrating this critical technology at scale," says Simon Groeblacher, CEO of QphoX. "This innovative solution to a well-known scaling challenge is made possible by an open and modular sy ...

Industry Overview - Quantum computing represents a rare ground-floor investment opportunity with transformative potential across various industries [2][3] - The quantum computing market is rapidly expanding, projected to grow from approximately $1 billion in 2024 to over $12 billion by 2032 [5] Company Analysis: IonQ, Inc. - IonQ specializes in trapped-ion quantum computing, offering superior coherence times and fidelity compared to superconducting methods, which is critical for complex calculations [6] - IonQ's stock is currently trading 40% below its 52-week high, presenting a potential entry point for risk-tolerant investors [7] - The company has formed strategic partnerships with major cloud providers, although it continues to operate with significant quarterly losses [7][9] - IonQ is considered a high-risk, high-reward investment, suitable for long-term investors [8][9] Company Analysis: D-Wave Quantum - D-Wave is focusing on quantum annealing technology, which is already solving complex optimization problems for over 100 commercial customers [11] - The stock is trading roughly 30% below its 52-week high, offering a tactical entry point for investors [10] - D-Wave faces challenges from better-funded rivals and requires additional capital to scale, but its specialized focus on immediate business value positions it for substantial revenue growth [12][13]

我国第四代自主量子计算测控系统"本源天机4.0"发布 《科创板日报》6日讯，记者从安徽省量子计算工程研究中心获悉，本源量子计算科技（合肥）股份有 限公司正式推出支持500+量子比特的中国第四代自主量子计算测控系统"本源天机4.0"，标志着我国量 子计算产业已具备可复制、可迭代的工程化生产能力，为百比特级量子计算机量产奠定了产业化基础。 (记者 黄心怡） ...

当前，量子计算领域蓬勃发展，却仍面临"它到底有什么用"的本质问题。在本文作者来看，在这样的环境下，正是大力推动量子算法的时刻，应降低对量子 算法原有要求，寻找可验证且实用的算法，呼吁理论家积极探索，推动量子计算突破瓶颈。值得一提的是，本文得到了理论物理学家John Preskill的推 荐："如果你对量子计算感兴趣，我强烈推荐加州理工学院学生robbieking1000的这篇文章，呼吁采取'更务实（scrappier）的方法'来寻找新的应用。" 本文来自微信公众号：返朴 （ID：fanpu2019），作者：robbieking1000，翻译：一二三，题图来自：AI生成 量子计算正处在一个奇特的阶段。技术层面上，经过数十亿美元投资和数十年的研究，实用的量子计算机正逐步接近实现。但令人尴尬的是，如今人们对量 子计算最常提出的问题，仍然和20年前一样：量子计算机到底能做什么？诚实的回答暴露了房间里的大象：我们至今也没有完全的答案。对于像我这样的理 论家来说，这既是一种挑战，也是一种行动的召唤。 技术动能 假设几十年后我们仍未拥有实用的量子计算机，原因会是什么？不太可能是因为遇到了无法逾越的工程障碍。量子纠错的理论基 ...

Industry Overview - Quantum computing is on the verge of transforming technology, with its concept proposed by Richard Feynman in 1981, highlighting the limitations of classical computers in simulating quantum systems [1] - Quantum computers utilize principles of quantum mechanics, such as superposition and entanglement, to perform complex calculations rapidly, enabling advancements in various fields including drug discovery, materials science, financial modeling, and AI optimization [2] - The quantum computing market is projected to grow from $1.2 billion in 2024 to $12.6 billion by 2032, representing a compound annual growth rate of 35%, indicating a significant investment opportunity [4] Company Analysis: Amazon - Amazon has established a strong presence in quantum computing through its cloud division, AWS, which launched Amazon Braket in 2019, allowing developers to access various quantum hardware platforms [6] - AWS introduced Ocelot, its first in-house quantum chip, in February 2025, designed to address quantum error correction, reducing resource requirements by up to 90% compared to conventional methods [7][8] - Amazon's strategy minimizes technological risk while leveraging its dominant cloud market position, positioning AWS to benefit as enterprises explore quantum applications [9] Company Analysis: IBM - IBM is a leader in quantum computing, with a commitment to invest $150 billion in America over five years, including over $30 billion for R&D in quantum technology [10] - The deployment of the 1,121-qubit Condor processor and the 133-qubit Heron processor marks significant advancements, with Heron demonstrating the ability to execute circuits with 5,000 two-qubit gates [11] - IBM's roadmap extends through 2033, with plans for powerful systems capable of executing complex quantum circuits, including the Starling processor in 2029 and Blue Jay in 2033 [12] - IBM's focus on both quantum hardware and cloud-based services provides multiple revenue opportunities as the industry shifts from experimental to commercial applications [13]

Though investors' attention is now mostly focused on President Donald Trump's tariffs and trade wars, the tech sector's quantum computing race is still going on. Yet that shift in focus away from the promising technology could actually be the very thing that allows investors to get in on some of the hottest quantum computing stocks at more reasonable valuations as they were trading at high premiums just a few months ago.One of the pure-play leaders in this space is IonQ (IONQ 12.78%). It has inked several k ...

Core Viewpoint - MicroAlgo Inc. has launched a new classifier auto-optimization technology based on Variational Quantum Algorithms (VQA), which significantly enhances computational efficiency and reduces complexity in parameter updates during training [1][11]. Group 1: Technology Overview - The new technology improves upon traditional quantum classifiers by reducing the complexity of parameter updates through deep optimization of the core circuit, leading to enhanced computational efficiency [1][3]. - MicroAlgo's approach includes a streamlined quantum circuit structure that minimizes the number of quantum gates, thereby lowering computational resource consumption [3][6]. - The classifier auto-optimization model employs an innovative parameter update strategy that accelerates training speed and improves efficiency [3][11]. Group 2: Challenges in Traditional Quantum Classifiers - Traditional quantum classifiers face challenges such as high optimization complexity due to deep quantum circuits, which complicates parameter updates and prolongs training times [2][4]. - The increasing volume of training data exacerbates the computational load for parameter updates, impacting the practicality of these models [2][5]. Group 3: Key Innovations - MicroAlgo's technology features Depth Optimization of Quantum Circuits, which uses Adaptive Circuit Pruning (ACP) to dynamically adjust circuit structures, reducing the number of parameters and computational complexity [6][7]. - The introduction of Hamiltonian Transformation Optimization (HTO) shortens the search path within the parameter space, improving optimization efficiency and reducing computational complexity by at least an order of magnitude [7][11]. - A novel regularization strategy, Quantum Entanglement Regularization (QER), dynamically adjusts quantum entanglement strength during training to prevent overfitting and enhance generalization capability [9][10]. Group 4: Noise Robustness - To address the challenges posed by Noisy Intermediate-Scale Quantum (NISQ) devices, MicroAlgo proposes Variational Quantum Error Correction (VQEC) to improve the classifier's robustness against noise, enhancing stability in real quantum environments [10][11]. Group 5: Future Implications - As quantum computing hardware advances, MicroAlgo's technology is expected to expand its application domains, facilitating the practical implementation of quantum intelligent computing and marking a significant milestone in the convergence of quantum computing and artificial intelligence [12].

Core Viewpoint - The Schall Law Firm is investigating D-Wave Quantum Inc. for potential violations of securities laws, focusing on misleading statements and undisclosed information regarding the company's technology and future roadmap [1][2]. Group 1: Investigation Details - The investigation centers on whether D-Wave issued false or misleading statements and failed to disclose critical information to investors [2]. - A report by Kerrisdale Capital, published on April 29, 2025, questions the credibility of D-Wave's technology, suggesting it is more of a market strategy than a genuine quantum computing advancement [2]. - The report also claims that D-Wave has not developed a viable future roadmap and that its technology relies on traditional computing methods rather than true quantum computing [2]. Group 2: Legal Representation - The Schall Law Firm encourages shareholders who have suffered losses to participate in the investigation and offers free consultations regarding their rights [3]. - The firm specializes in securities class action lawsuits and shareholder rights litigation, representing investors globally [3].

Core Viewpoint - D-Wave Quantum Inc. has experienced an 8% decline in the last month, attributed to the ongoing trade war between the U.S. and China, leading to mixed opinions among investors regarding the stock's potential [1] Company Overview - D-Wave Quantum's current stock price is $6.68, with a 52-week range between $0.75 and $11.95, and a price target of $8.42, indicating a potential upside of 26.85% [2][10] - The company has faced criticism for its high price-to-sales ratio of over 230, suggesting it may be overvalued relative to its fundamentals [11] Recent Developments - In late April, D-Wave completed a significant project with Davidson Technologies, which may enhance its marketability in the defense sector [3] - The project involved the physical assembly of a D-Wave Advantage2 annealing quantum system, marking the first such system built on-premises in Alabama [4] Strategic Importance - The partnership with Davidson is crucial as it supports secure quantum research for national defense applications, with the annealing quantum computer housed at Davidson's headquarters [5] - Once operational, the computer is expected to facilitate collaborative research with defense agencies and academic institutions, aiming to become a vital tool for the U.S. Department of Defense [6] Market Position and Technology - D-Wave's focus on annealing technology has faced skepticism, with some analysts suggesting that its advantages over classical computing are not yet proven [8] - The company has recently entered the race to develop alternative quantum computing technologies, such as gate-model systems, which are viewed as potentially more marketable [8] Future Outlook - The operational success of the annealing quantum computer in defense applications could significantly impact D-Wave's market position and investor confidence [9] - Analysts currently rate D-Wave Quantum as a Buy, but some believe there are better investment opportunities available [14]