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美日科研成果 量子计算与传统超算联袂模拟分子行为
Huan Qiu Wang Zi Xun· 2025-07-08 02:00
Core Insights - IBM and RIKEN researchers successfully simulated quantum behaviors of various molecules by combining quantum and supercomputing technologies, paving new paths for chemical and pharmaceutical research [1][2] Group 1: Research Collaboration - IBM's "Eagle" quantum computer collaborated with Japan's "Fugaku" supercomputer to simulate the quantum states of nitrogen molecules and two iron-sulfur compounds using a spatial quantum dynamics algorithm [1] - The quantum computer performed core calculations while the supercomputer acted as a "quality inspector," correcting errors in real-time [1] Group 2: Performance and Future Prospects - Although the hybrid model has not yet surpassed the independent performance of supercomputers, it has demonstrated competitive capabilities in computational chemistry [2] - Kenneth M. Moritz from Cleveland Clinic noted that the improved spatial quantum dynamics algorithm can simulate molecular behavior in solution, making chemical modeling more realistic [2] - There is optimism that the combination of quantum and classical computing could show significant advantages within a year after further algorithm optimization [2] Group 3: Industry Developments - NVIDIA has developed a software platform supporting hybrid computing, while Microsoft emphasizes the transformative potential of the combination of quantum computing, supercomputing, and artificial intelligence in chemistry and materials science [2] - Caution is expressed by Markus Reiher from ETH Zurich, who highlights the need to observe the method's performance in large molecule simulations before it can be considered the preferred approach for quantum chemical calculations [2] Group 4: Ongoing Improvements - The RIKEN laboratory has upgraded to a new IBM quantum processor with lower error rates, and the research team is working on optimizing the spatial quantum dynamics algorithm and enhancing the collaboration efficiency between "Eagle" and "Fugaku" [2]
OpenAI去年股权薪酬超44亿美元占营收119%;苹果对欧盟5亿欧元罚款提起上诉丨全球科技早参
Mei Ri Jing Ji Xin Wen· 2025-07-07 23:44
Group 1: CoreWeave Acquisition - CoreWeave has agreed to acquire data center infrastructure provider Core Scientific in an all-stock transaction valued at nearly $9 billion [2] - This acquisition aims to "verticalize" CoreWeave's data center layout, with Core Scientific becoming a key supplier of data center infrastructure [2] - The integration of Core Scientific's resources and capabilities is expected to enhance CoreWeave's data center infrastructure strength [2] Group 2: Apple EU Fine Appeal - Apple has appealed against a €500 million ($586 million) fine imposed by the EU for violating the Digital Markets Act [3] - The company argues that the EU Commission's decision and the unprecedented fine exceed legal boundaries [3] - This appeal highlights the ongoing tension between tech giants and regulatory bodies regarding digital market competition and fairness [3] Group 3: Quantum Computing Breakthrough - IBM and Japan's RIKEN Institute have successfully simulated molecular quantum behavior using a combination of quantum and supercomputing [4] - This research, published in scientific journals, opens new pathways for chemical and pharmaceutical development [4] - The successful application of quantum computing in molecular simulation is expected to accelerate innovation in related fields [4] Group 4: OpenAI Compensation Structure - OpenAI's stock-based compensation reached $4.4 billion last year, accounting for 119% of its revenue due to intense competition for AI talent [5] - The company anticipates a reduction in the proportion of stock-based compensation to 45% this year, aiming for below 10% by the end of 2030 [5] - This reflects the fierce competition for top talent in the AI sector [5] Group 5: Figure Robotics Development - Figure's CEO announced that humanoid robots have entered the engineering validation phase, driven by breakthroughs in hardware reliability and neural networks [6] - The latest humanoid robot design has reduced costs by approximately 90% [6] - Figure aims for large-scale deployment of humanoid robots within four years, with a production capacity of 100,000 units annually, targeting global distribution of hundreds of millions of robots [6]
量子计算与传统超算联袂模拟分子行为
news flash· 2025-07-07 22:14
Core Insights - IBM collaborates with scientists from the RIKEN Institute in Japan to successfully simulate quantum behaviors of various molecules using a combination of quantum and supercomputing technologies [1] Group 1 - The research results are published in the journals "Science Advances" and "Physical Chemistry B," indicating a significant contribution to the fields of chemistry and drug development [1]
从G7到北约,两场峰会都是“面和心不和”
Qi Lu Wan Bao· 2025-07-07 02:13
6月24日至25日,一年一度的北约峰会在荷兰海牙召开。与往届一样,这次峰会也遭遇反北约抗议集会,开 幕前夕有来自20多个国家的民间组织参与了抗议活动。一些抗议者直指北约站在了"和平与发展的对立 面",一名来自美国的抗议者说:"北约应该在海牙接受审判,而不是举行峰会。"联合国国际法院就设在荷 兰海牙。 北约峰会前一周,七国集团(G7)峰会刚在加拿大西部小镇卡纳纳斯基斯落幕。G7峰会没有发布联合公报, 也未就乌克兰问题发表联合声明。美国总统特朗普在峰会期间因以伊冲突提前回国。加拿大总理卡尼在 会后承认,G7领导人在许多问题上存在分歧。 从G7到北约,两场峰会如同一面镜子,折射出西方那些日渐式微的、历史遗留的"小圈子"内部充满了"面 和心不和"。 前不久的G7峰会正逢以伊冲突爆发,特朗普在峰会首日便以此为由缩短行程,提前返回白宫与国家安全团 队会面磋商。特朗普离开加拿大之前,还在G7峰会上拒绝签署一项呼吁以伊冲突降级的联合声明,最终峰 会发表了一项言辞上力挺以色列的联合声明。 而这被认为是此次G7峰会寥寥无几的成果之一。即便如此,在以伊冲突爆发之初,特朗普还是与法国总统 马克龙就军事行动是否会导致伊朗发生政权更迭爆 ...
研判2025!中国智慧气象行业特征、产业链图谱、市场规模及竞争梯队分析:市场进入快速发展阶段,行业竞争格局分化[图]
Chan Ye Xin Xi Wang· 2025-07-07 01:18
Core Insights - The smart meteorology industry leverages new information technologies to enhance meteorological observation, forecasting, warning, information sharing, and service accessibility, ultimately aiming to empower various sectors and safeguard life, production, and ecology [1][2][5] - The market for smart meteorology in China is experiencing rapid growth, projected to increase from CNY 63.58 billion in 2020 to CNY 94.34 billion in 2024, with expectations to surpass CNY 100 billion by 2025 [1][13] Industry Overview - Smart meteorology is characterized by its technology-intensive nature, rich data, personalized services, broad applications, and high collaboration [2] - The industry encompasses a complex ecosystem that integrates IoT, AI, and cloud computing, covering the entire chain from sensing to application and service [5][27] Market Growth and Trends - The smart meteorology market is at a critical turning point for technological breakthroughs and large-scale applications, supported by policy, technological innovation, and market demand [13] - The market is segmented into hardware (36%), software (34%), and services (30%), with a trend towards increasing service market share as technology penetration deepens [15] Applications and Case Studies - Shanghai's AI meteorological forecasting models "Yushi" and "Fuyiao" aim to provide precise rainstorm warnings at the street level, enhancing disaster response capabilities [17] - Yunnan Province's deployment of 20 X-band dual-polarization weather radars significantly improves monitoring coverage in mountainous areas, addressing previous blind spots [19] - The Guangdong-Hong Kong-Macao Greater Bay Area Meteorological Monitoring and Early Warning Center aims to enhance precision in weather warnings for high-impact weather events [23][24] Competitive Landscape - The smart meteorology industry features a dual-track structure where state-owned entities control infrastructure and data, while tech companies and private firms innovate and penetrate niche markets [25] - Major players like Huawei and Alibaba are reshaping the market through technology integration and ecosystem collaboration, while private firms like Moji Weather and Aerospace Hongtu focus on specific applications [25][27] Future Outlook - The industry is expected to grow rapidly, with projections indicating a market size exceeding CNY 250 billion by 2030, driven by the deepening integration of smart meteorology applications [29]
潘建伟:量子技术产业化需要耐心支持和理性环境
Ke Ji Ri Bao· 2025-07-06 23:29
Core Insights - The core viewpoint of the articles is the current state and future path of quantum technology, particularly focusing on quantum information technology, which is driving the second quantum revolution [1][2]. Group 1: Quantum Technology Overview - Quantum technology is defined as "quantum information technology," which includes quantum computing, quantum communication, and quantum precision measurement [1]. - Quantum communication has established wide-area networks and practical terminal products, while quantum precision measurement is showing application value in navigation and medical fields [1]. - Quantum computing is still in the experimental research phase, with the "Zuchongzhi No. 3" superconducting quantum computing prototype recently achieving the strongest "quantum computing superiority" published to date [1]. Group 2: Challenges in Industrialization - The industrialization of quantum computing may take another 10 to 15 years, primarily due to the lack of practical algorithms suitable for current quantum computers [2]. - Traditional sectors pose resistance to the adoption of quantum technology, as existing interests may hinder the integration of new technologies like quantum secure communication [2]. - There is a concern about unrealistic promotion of immature technologies by some companies, which can mislead the public and investors, damaging the credibility of quantum technology [2]. Group 3: Recommendations for Development - To promote the industrialization of quantum technology, continuous investment and support from both government and private sectors are essential [2]. - There is a need for a consensus across society to allow time and space for technology to grow, as well as the cultivation of interdisciplinary talents who understand quantum principles and can operate relevant equipment [2][3]. - The development of quantum technology relies on the manufacturing of essential equipment such as electron beam lithography machines, molecular beam epitaxy, and dilution refrigerators [3].
新方法成功模拟特定容错量子计算
news flash· 2025-07-06 23:10
智通财经7月7日电,量子计算机通往实用之路的一大障碍是纠正计算中产生的错误,人们需借助传统计 算机对量子计算进行模拟验证,但这一任务极其复杂。瑞典查尔姆斯理工大学、意大利米兰大学、西班 牙格拉纳达大学和日本东京大学的研究团队首次提出了一种新方法,能够模拟特定类型的容错量子计 算,攻克了该领域长期存在的一项技术难题。相关论文发表于最新一期《物理评论快报》杂志。 新方法成功模拟特定容错量子计算 ...
景顺投资赵耀庭:美元贬值周期或开启 资产配置迎拐点
Group 1: Global Financial Market Trends - The global financial market is undergoing significant changes, with the potential for a new depreciation cycle of the US dollar, which may decline by 5% in the second half of the year, impacting global asset allocation [1] - A weaker dollar typically opens up opportunities for non-dollar assets, particularly benefiting emerging markets by improving financing conditions and enhancing returns on local currency-denominated assets [1] - The current high valuation of the US stock market, with the S&P 500 index trading at a price-to-earnings ratio close to 22, contrasts with the historical average, highlighting the relative valuation advantage of non-US markets [1] Group 2: Emerging Market Dynamics - For emerging markets, particularly Asian stocks, to outperform developed markets, four key factors must align: moderate US economic growth, a depreciating dollar, stable oil prices below $80 per barrel, and accommodative monetary policies from emerging market central banks [2] - Increased interest from European investors in Asian markets and vice versa indicates a positive trend in capital flows between Europe and Asia, suggesting a shift towards seeking opportunities outside the US market [2] Group 3: Technology Sector Insights - Chinese technology companies are demonstrating strong innovation capabilities, as evidenced by the launch of the DeepSeek-R1 model, which is narrowing the valuation gap between US and Chinese tech stocks [3] - Despite the strong performance of US tech stocks, there are signs of cooling enthusiasm and concerns over high valuations, while Chinese tech companies are viewed as having higher investment value due to their growth potential [3] - Investment opportunities in Chinese companies are also seen in quantum computing, biotechnology, and high-end equipment manufacturing, supported by favorable policies and a complete industrial chain from R&D to commercialization [4]
B2B电商平台推荐:数商云——企业数字化转型的深度赋能者
Sou Hu Cai Jing· 2025-07-04 16:06
Core Insights - The article highlights the transition of B2B e-commerce from "information matching" to "full-link digitalization" by 2025, with the global market size exceeding $14.9 trillion, and China accounting for over 35% of this market, maintaining a compound annual growth rate of over 18% [2] - Traditional B2B platforms face three major pain points: rigid technical architecture leading to insufficient high concurrency processing, delayed response to industry customization needs, and low supply chain collaboration efficiency [2] - Shushangyun emerges as a key choice for enterprises to overcome growth bottlenecks through its "cloud-native + microservices" technology foundation, vertical industry solutions, and ecological service capabilities [2] Technical Architecture - Shushangyun employs a distributed microservices architecture, allowing for elastic scaling and high concurrency processing, supporting up to 5,000 orders per second with a stable response time of 300 milliseconds [3] - The introduction of quantum computing and digital twin technologies enhances decision-making in procurement, with a reported 300% increase in procurement efficiency and an 18.7% reduction in overall costs for certain enterprises [4] - A multi-chain blockchain architecture facilitates trust in cross-border transactions, reducing average transaction cycles from 14 days to 3 days and decreasing dispute rates by 92% [4] Core Functions - Shushangyun's SKU management capabilities enable precise operations, achieving a 99.5% inventory accuracy rate and a 0.8% out-of-stock rate for a certain automotive parts enterprise [6] - The order management system transitions from a linear model to an intelligent decision-making loop, improving order processing efficiency by 50% and customer satisfaction by 30% for a specific electronic components company [9] - The supply chain finance module integrates deeply into transaction processes, reducing financing cycles from 30 days to 7 days and financing costs by 20% for a building materials company [10] Industry Adaptability - Shushangyun addresses the complexities of industrial product transactions with a three-dimensional collaborative platform, achieving a 98.3% match rate for model queries [11] - In the agricultural sector, blockchain traceability technology has connected over 5,000 farmers with 300+ buyers, increasing transaction volume by 40% and reducing loss rates to 5% [14] - The medical industry benefits from compliance and efficiency solutions, with a 40% improvement in business compliance for a pharmaceutical company through a drug traceability module [17] Enterprise Adaptability - Shushangyun offers standardized products for small enterprises with annual transaction volumes below $5 million, enabling rapid deployment and a 60% reduction in IT investment [19][20] - For larger enterprises with transaction volumes exceeding $500 million, customized development services are available, enhancing inventory synchronization from 2 hours to 5 minutes [23] - The company has established an ecological service system integrating technology, data, and finance, with over 500 standardized interfaces for seamless integration with other systems [25] Future Outlook - Shushangyun is advancing in three strategic areas: developing immersive 3D virtual exhibition halls, integrating carbon footprint tracking into supply chain systems, and exploring quantum computing applications for supply chain optimization [28][29][30] - The company positions itself as a partner in digital transformation, providing comprehensive support from platform construction to operational optimization, enabling enterprises to seize market opportunities and achieve sustainable development [30]
Is D-Wave Quantum Stock a Buy Now?
The Motley Fool· 2025-07-03 11:20
Core Viewpoint - D-Wave Quantum, an early player in the quantum computing sector, has experienced significant stock volatility and is attempting to expand beyond its niche market with new technologies and partnerships [2][4][6]. Company Overview - D-Wave Quantum went public via a SPAC merger on August 22, 2022, starting at $10 but dropping to a low of $0.41 by May 12, 2023, due to dilution, losses, and high valuations [2]. - As of now, D-Wave's stock trades around $14, representing a substantial recovery for those who invested at its lowest point [4]. - The company specializes in quantum annealing tools that optimize business processes, aiming to compete with traditional cloud-based analytics firms [6][7]. Financial Performance - In 2024, D-Wave reported $8.8 million in revenue with a net loss of $143.9 million [9]. - Analysts project revenue to nearly triple to $24.4 million in 2025, with a reduced net loss of $72.9 million, driven by the new 4,400-qubit Advantage2 processor [10]. - Expected revenue growth includes a 56% increase to $38.1 million in 2026 and nearly doubling to $74.1 million in 2027, although the company is not expected to break even soon [12]. Product Development and Market Position - D-Wave's Advantage2 processor can solve complex problems significantly faster and more efficiently than its predecessor [10]. - The LaunchPad platform for Leap aims to attract new enterprise customers and enhance recurring subscription revenues [11]. - The company plans to integrate more quantum AI tools to appeal to the growing AI market [11]. Competitive Landscape - D-Wave faces competition from universal gate-based processors from companies like IBM, Google, Rigetti, and IonQ, which may limit its market share if it cannot keep pace [14]. - The company has increased its share count by 184% since the SPAC merger, primarily due to secondary offerings and stock-based compensation, leading to ongoing dilution [13]. Insider Activity - Recent insider selling has raised concerns, with insiders selling more than three times as many shares as they bought in the past three months, indicating potential skepticism about future growth [15]. Investment Considerations - D-Wave's current valuation appears high relative to its near-term growth prospects, making it a speculative investment in the long-term quantum computing market [16].