D-Wave Quantum (NYSE:QBTS) Q4 2025 Earnings call February 26, 2026 08:00 AM ET Speaker13Good morning, everyone, and welcome to D-Wave's fourth quarter fiscal year 2025 earnings conference call. Today's conference call is being recorded. At this time, I would like to turn the call over to Kevin Hunt, Senior Director of Investor Relations. Please go ahead.Speaker10Thank you and good morning. With me today are Dr. Alan Baratz, our Chief Executive Officer, and John Markovich, our Chief Financial Officer. Before ...

IQM指出，截至目前其已向13家客户售出21套其独家研发的量子计算系统，其中包括全球前十大超级计 算中心中的4家。该公司补充称，其在2025年实现了最前沿量子计算技术带来的至少3500万美元的未经 审计营收，并且截至2025日历年末，其在手量子计算业务订单/营收可见度超过1亿美元。 IQM联合创始人兼首席执行官扬·格茨(Jan Goetz)表示："量子计算不再只是科学研究项目。它已经成为 一个早期产业——客户们拥有、运营并在先进量子计算机之上进行项目构建。这正是IQM所能实现 的。" IQM与Real Asset的董事会均已批准拟议的业务合并。 IQM是总部位于欧洲的量子计算核心参与者之一。其他欧洲量子计算领军者方面，CNBC报道称，总部 位于英国的Quantinuum去年通过两轮融资筹集了8亿美元;总部位于西班牙的Multiverse Computing去年在 B轮融资中筹集了1.89亿欧元。IQM核心业务聚焦于超导路线的量子计算硬件/系统(某种程度上的"量子 计算全栈")，该公司打造的量子处理器(QPU)基于超导电路，并把整机交付为可在本地部署的量子计算 机(面向HPC中心等)，同时也支持云端高速访问。 ...

Core Viewpoint - The significant investment by Norway's sovereign wealth fund in IonQ marks a potential milestone for active asset management firms entering the quantum computing sector, indicating a growing belief in the long-term growth potential of this technology [1][3]. Group 1: Investment Insights - Norway's central bank investment management (NBIM) has disclosed a long position in multiple quantum computing companies, including IonQ, Rigetti, and D-Wave Quantum, with a notable focus on IonQ [1][2]. - The total value of the holdings includes approximately $200 million in IonQ stock, $39 million in Rigetti, and $4 million in D-Wave Quantum [2]. - The investment is seen as a strategic move by a major asset management institution, potentially paving the way for other large firms to enter the quantum computing space [3][8]. Group 2: Market Outlook - Analysts believe that the quantum computing sector is on the verge of significant breakthroughs, with predictions of achieving "quantum supremacy" within the next three to five years [4][5]. - The transition from academic discussions to practical applications in quantum computing is becoming urgent, particularly regarding national security implications [4][5]. - The market for quantum computing is expected to expand, with multiple successful technology paths likely to emerge, similar to the current trends in artificial intelligence [2][3]. Group 3: Technological Developments - IonQ's advancements in quantum hardware, including achieving 99.99% fidelity in two-qubit gates, are critical milestones in the journey toward practical quantum computing [4]. - The focus is shifting from merely increasing the number of physical qubits to achieving error correction and stable logical qubits necessary for commercial viability [6][7]. - The recent progress in quantum error correction and the establishment of fault-tolerant architectures are seen as essential steps toward large-scale commercial applications [6][7].

Group 1 - The core idea of the article is the emergence of AI agents powered by quantum computing, which is expected to revolutionize the capabilities of AI from passive responses to proactive actions [1][10]. - The introduction of the "CES Foundry" area at CES 2026 highlights the growing intersection of AI and quantum computing, showcasing their potential to reshape the future [1]. Group 2 - Quantum computing fundamentally differs from classical computing, enabling AI agents to operate in complex, dynamic environments with significantly higher computational complexity [2]. - Quantum superposition allows quantum bits (qubits) to exist in multiple states simultaneously, drastically reducing the time required for AI agents to explore various possibilities [3]. - Quantum entanglement facilitates parallel processing, enabling AI agents to tackle extremely complex problems, such as real-time optimization of urban traffic systems [4]. Group 3 - Quantum supremacy has been achieved, as demonstrated by Google's Sycamore processor, which completed a specific task in 200 seconds that would take classical supercomputers about 10,000 years [5]. - The development of efficient quantum algorithms is crucial for the practical implementation of AI agents, with Shor's algorithm posing a threat to current encryption systems and Grover's algorithm enhancing data retrieval efficiency [7][8][9]. Group 4 - The integration of quantum computing and AI is expected to lead to exponential growth in AI capabilities, allowing for unprecedented action-oriented AI agents [10]. - Quantum-enhanced machine learning can process large datasets more effectively, overcoming the limitations faced by classical computing in various fields, including climate modeling [11]. - Specific applications of quantum AI agents include drug discovery, financial risk management, and optimization of global supply chains, showcasing their transformative potential across industries [12][13]. Group 5 - The ultimate goal of AI development is to create agents capable of memory, perception, reasoning, and autonomous action, with quantum computing being a key enabler of this evolution [14]. - Future computing architectures will likely adopt a hybrid model, where classical computers handle general tasks while quantum computers address highly complex challenges [14]. - The reciprocal relationship between AI and quantum computing may accelerate the arrival of a technological singularity, as AI aids in the development and optimization of quantum algorithms [15].

Core Viewpoint - John Martinis, one of the Nobel Prize winners in Physics this year, warns that China's rapid advancement in quantum computing is significantly narrowing the technological gap with the United States [1][8]. Group 1: Competitive Landscape - The competition in quantum computing is intensifying among the US, Europe, and China, with Martinis stating that practical quantum computers are still 5 to 10 years away from realization [4][11]. - Quantum computing is considered a strategic technology that could surpass traditional computing capabilities, potentially enabling the decryption of military communications and attacks on critical infrastructure [4][11]. Group 2: Technological Progress - Martinis, who previously worked on quantum hardware development at Google, noted that when Google announced achieving "quantum supremacy" in 2019, it was believed that China was about three years behind [4][11]. - However, Martinis pointed out that China has rapidly caught up, with the current lead of the US being only a few nanoseconds [4][11]. - Chinese research teams have a clear grasp of technological trends, often producing results with similar capabilities within months of key advancements announced by the West [4][11]. Group 3: Quantum Computing Fundamentals - Quantum computers utilize quantum bits (qubits) that can exist in both 0 and 1 states simultaneously, leading to an exponential increase in information processing capabilities compared to traditional computers [7][11].

Group 1: Company Overview - Mengyun Holography (HOLO.US) expects to achieve a net profit exceeding RMB 350 million for the year 2025, a significant turnaround from a net loss in the previous year [1] - The company reported a net loss of approximately RMB 63 million for the entire year of 2024 [1] - Mengyun Holography currently holds over RMB 3 billion in cash, cash equivalents, and short-term investments [1] - The company plans to allocate over $400 million from its cash reserves to invest in quantum computing, blockchain, and quantum holography technologies [1] Group 2: Industry Trends - The quantum computing sector in the U.S. stock market has seen a strong performance, with Mengyun Holography experiencing a pre-market surge of over 17% following positive news [2] - Recent developments, including the U.S. government's consideration of using federal funds to acquire equity in quantum computing companies, have led to a collective rise in quantum sector stocks [2] - Key players in the quantum computing field, such as IonQ, Rigetti, and D-Wave, have also seen significant stock price increases, reinforcing expectations of a "national-level track" premium [2] - Industry experts believe that the quantum computing field is approaching critical milestones, with the potential for achieving "quantum advantage" and "quantum supremacy" within the next three to five years [2][3] - IonQ's CEO has indicated that the era of "quantum supremacy" is imminent, marking a significant threshold where quantum processors can outperform classical supercomputers on specific tasks [3] - Quantum computing systems leverage quantum mechanics properties, such as superposition and entanglement, to provide a new computing paradigm that could vastly exceed traditional binary computers in certain areas [3]

Group 1 - The core viewpoint of the articles highlights the escalating competition in quantum computing, exemplified by IonQ's recent $2 billion funding round, which signifies a pivotal moment in the commercialization of quantum technology [1][2][3] - IonQ's stock price surged by 478% over three years, reflecting strong investor confidence and the potential of quantum computing to revolutionize industries [1][2] - The funding round was marked by a 20% premium on stock prices, indicating robust market interest and the strategic importance of quantum computing in the tech landscape [1][2] Group 2 - IonQ's quantum volume has surpassed one million, allowing it to solve complex optimization problems in minutes, a feat that traditional supercomputers would take thousands of years to accomplish [2] - The competitive landscape shows that 80% of global quantum computing patents are held by the US and China, highlighting the geopolitical stakes involved in this technological race [2] - The implications of IonQ's funding extend beyond immediate financial metrics, potentially reshaping the global technology landscape over the next three decades [3]

Core Viewpoint - The 2025 Nobel Prize in Physics was awarded for advancements in quantum mechanics, showcasing how quantum phenomena can be observed in the macroscopic world, particularly through the work of a team from 40 years ago [6][9]. Group 1: Award Winners and Their Contributions - The award winners include John M. Martinis, Michel H. Devoret, and John Clarke, who formed a "dream team" that combined the expertise of a mentor, postdoctoral researcher, and doctoral student [7][8]. - Their experiments with superconducting electronic circuits revealed the operations of quantum physics on a macroscopic scale, demonstrating phenomena such as quantum tunneling [9][26]. Group 2: Quantum Mechanics Applications - Quantum mechanics underpins many modern technologies, including transistors and semiconductor chips, and the discoveries made by the award winners are foundational for next-generation quantum technologies like quantum cryptography and quantum computers [9][30]. - The research led to the development of "artificial atoms" as prototypes for quantum devices, which can process information by manipulating energy [30]. Group 3: John M. Martinis's Career and Achievements - John M. Martinis is recognized for his focus on practical applications of quantum physics, having led Google's quantum computing team and achieved "quantum supremacy" with the Sycamore processor [10][33]. - The Sycamore processor completed a task in approximately 200 seconds that would take a classical supercomputer 10,000 years, marking a significant milestone in quantum computing [35][36]. Group 4: Departure from Google and Future Aspirations - Martinis left Google after internal conflicts regarding project focus and direction, seeking to pursue his vision of building a commercially viable quantum computer at a startup called SQC [43][57]. - He believes that practical quantum computers could revolutionize various fields, including chemistry and sustainable energy technologies, and is optimistic about their potential impact on the economy and society [41][42].

Core Viewpoint - The Nobel Prize in Physics 2025 was awarded to three scientists in the field of quantum mechanics: John Clarke, Michel H. Devoret, and John M. Martinis, for their discoveries related to macroscopic quantum tunneling effects and energy quantization phenomena in circuits [1]. Group 1: John Clarke - John Clarke's research focuses on superconductivity and superconducting electronics, particularly in low-temperature physics [4]. - He is best known for inventing and improving the superconducting quantum interference device (SQUID), which is a highly sensitive flux-to-voltage converter used in various fields such as condensed matter physics and medical physics [4]. - Clarke was born in 1942 in Cambridge, UK, and has received numerous awards, including the Fritz London Prize for his contributions to low-temperature physics [7][11]. Group 2: Michel H. Devoret - Michel H. Devoret is recognized as one of the founders of "quantum electronics," focusing on the quantum behavior of electronic systems at the mesoscopic scale [16]. - He has made significant contributions to understanding the fundamental mechanisms of quantum non-equilibrium physics in superconducting circuits, laying a solid foundation for quantum technology [18]. - Devoret has received several prestigious awards, including the 2024 Comstock Prize in Physics and the 2022 Micius Quantum Prize [19]. Group 3: John M. Martinis - John M. Martinis's core contribution to the Nobel Prize was his research on the quantum behavior of the phase difference in Josephson junctions, demonstrating that macroscopic circuit systems can exhibit quantum tunneling and energy level discretization [20]. - He played a pivotal role in achieving "quantum supremacy" with a 53-qubit processor, surpassing the computational power of the world's strongest classical supercomputer [24]. - Martinis has held various prestigious positions, including serving as the Chief Scientist for Quantum Hardware at Google's Quantum AI Lab, and has co-founded companies focused on practical quantum computing [26][28].

Group 1: Quantum Computing - The quantum computing industry is steadily developing, with the first batch of quantum computing companies releasing financial reports and expanding commercial applications. However, personal quantum computers are still far from realization [4][41]. - Google's Willow chip features 105 physical qubits and can complete a task in 5 minutes that would take the fastest supercomputer over 10²⁵ years, significantly reducing error rates [4][42]. - Key breakthroughs include surpassing the quantum error correction threshold, where increasing physical qubits leads to a decrease in logical qubit error rates, although true fault-tolerant qubits are still a distance away [4][43]. Group 2: Humanoid Robots - The humanoid robot industry is gaining momentum, with predictions that the market will reach $7 trillion by 2050. 2025 is expected to be the year of mass production [7][8]. - Domestic companies like Yushutech and Zhiyuan Robotics are making strides, with significant product iterations and expected deliveries of 300 units in 2024 [8]. - The demand for humanoid robots is driven by advancements in AI, mature supply chains, and supportive policies, particularly in response to an aging population [8][9]. Group 3: AI as a Fundamental Discipline - AI is recognized as a new foundational discipline, with significant breakthroughs in physics and chemistry, as evidenced by Nobel Prizes awarded to AI scientists [10][11]. - AI is changing research paradigms, allowing for accelerated drug development processes that previously required large teams and extensive timeframes [12][13]. Group 4: Blockchain 3.0 - The blockchain industry is transitioning into its 3.0 phase, characterized by rational development and practical applications, moving beyond previous extremes of enthusiasm and skepticism [14]. - The Chinese blockchain market is projected to grow at an annual rate of 54.6%, reaching $43.1 billion by 2029 [14]. Group 5: Satellite Internet - The global competition in satellite internet is intensifying, with SpaceX's Starlink having launched over 7,000 satellites and serving over 4 million users [15]. - China is catching up in low-orbit satellite deployment, with plans to launch 1,500 satellites by 2030 [15][16]. Group 6: Autonomous Driving - By 2025, high-speed Navigation Assisted Driving (NOA) is expected to become standard, with urban NOA gradually becoming widespread [17][18]. - Companies like Baidu and Tesla are leading the charge, with significant advancements in autonomous driving technology and substantial order volumes [17]. Group 7: Professional Drones - The professional drone market is thriving, with China's drone market valued at 106.5 billion yuan in 2022, and the global military drone market projected to reach $16.4 billion by 2032 [19][20]. - The applications of drones span military and civilian uses, with industrial-grade drones making up 65.3% of the market in 2023 [20]. Group 8: Low-altitude Economy - The low-altitude economy, including drones and eVTOLs, is rapidly developing, with China's low-altitude economy expected to exceed 1 trillion yuan by 2026 [22]. - The consumer-grade drone market is seeing widespread adoption, while industrial-grade applications are also expanding significantly [22]. Group 9: AI in Digital Health - AI is becoming an essential tool in healthcare, assisting in diagnostics and personalized medicine, while also serving as a high-level assistant to doctors [27][28]. Group 10: AI in Education - The education sector is undergoing significant changes, with AI amplifying the effects of top educators and shifting towards employment-oriented training [28]. Group 11: Chip Industry - The chip industry is increasingly focused on ecosystem development, with applications driving the ecosystem rather than just technology [31]. - The U.S. is implementing restrictions on high-end chips to China, prompting a push for domestic development in China [31]. Group 12: Digital Content Era - The micro-short video market is expected to surpass traditional film box office revenues, driven by rapid consumption and emotional engagement [30]. - The market for micro-short videos is projected to reach 50.44 billion yuan in 2024, with significant user engagement [30].