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伟辉科技控股:量子算法驱动金融科技革命,双轨战略重塑贵金属交易未来
Cai Fu Zai Xian· 2025-05-20 10:45
Core Insights - The company, Weihui Technology Holdings, positions itself as a leader in global precious metals trading and digital asset services by leveraging "quantum algorithm trading + AI" as its core engine [1] Group 1: Technological Breakthroughs - Weihui Technology has built a supercomputing cluster using 3,000 NVIDIA H100 cards, enhancing quantum algorithm trading efficiency significantly [2] - The AI system utilizes quantum superposition, entanglement, and state measurement to reduce high-frequency decision latency to 5 milliseconds, achieving a 100-fold speed increase compared to traditional systems [2] - The system supports 28 trillion hash operations and 1.2 million cross-market checks per second, with a peak daily trading volume of over 3 million ounces in precious metals [2] Group 2: Dual-Engine Strategy - The company has introduced the "Alpha Dual PAMM dual-strategy intelligent asset management" combination, which includes a gold shield and a crypto spear [4] - The gold shield offers spot trading for 99 gold and Hong Kong dollar kilogram bars, with a blockchain settlement system achieving second-level delivery by 2024 [4] - The crypto spear captures BTC/ETH volatility arbitrage, with historical monthly returns ranging from 8% to 15% [4] - The intelligent hedging employs FPGA+GPU architecture for nanosecond-level rebalancing, maintaining portfolio stability during extreme market conditions [4] Group 3: Compliance and Security - Weihui Technology's foundation is built on licensed precious metals service provider qualifications, supplemented by multiple safeguards [5] - The company holds a B-class license from the Hong Kong Gold and Silver Exchange and a MAS exemption license from Singapore, ensuring transparent and traceable fund custody [5] - Collaboration with Hiscox provides dual protection through "PAMM custody + professional underwriting" [5] - The company boasts an average daily trading volume exceeding $1 trillion in precious metals, with a 30% reduction in spreads and slippage controlled within 0.1% [5] Group 4: Future Layout - Weihui Technology is strategically positioning itself in the metaverse financial ecosystem and global service network [6] - The company plans to implement a web-based clientless trading system that connects directly to multiple liquidity providers, improving response speed by 70% [6] - A 2030 plan includes the development of an Omniverse 3D trading hall with AI virtual advisors available 24/7 [7] - The company aims to cover ten major financial centers by 2027, reducing global latency to 80 milliseconds [7] Group 5: Data Validation - In 2024, gold prices are projected to rise by 15%, with hedging strategies expected to outperform benchmarks by 30% on an annualized basis [8] - The company's managed assets have surged by 40% year-on-year, targeting $5 billion in institutional AUM by 2025 [8] - The system achieves a data latency of 50 microseconds and maintains slippage control at 0.1%, certified by NVIDIA's supercomputing ecosystem [8] - The CEO emphasizes the goal of investing $100 million over the next three years to enhance quantum algorithm trading and the metaverse financial ecosystem [8]
关于量子计算,我们仍不知道它到底能做什么
Hu Xiu· 2025-05-06 01:13
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 ...
2025年量子计算应用能力指标与测评研究报告
Sou Hu Cai Jing· 2025-04-27 08:02
今天分享的是:2025年量子计算应用能力指标与测评研究报告 报告共计:47页 《量子计算应用能力指标与测评研究报告》由量子信息网络产业联盟发布,旨在构建量子计算应用能力评测框架,推动量子计 算应用发展。 1. 研究背景:量子计算基于量子力学,具有强大并行计算能力,但当前处于含噪中等规模(NISQ)阶段。产业面临量子计算能 否解决行业问题、超越经典计算性能等诸多疑问,且缺乏能准确评估量子计算整体性能的工具与方法,因此构建评测框架十分 必要。 2. 行业场景与需求:移动网络和金融行业作为高算力需求行业,面临诸多计算难题。移动网络在信号处理、网络优化、人工智 能和数据处理方面挑战巨大,如512×8维度MIMO矩阵计算、500小区联合覆盖优化等问题;金融行业在投资组合优化、风险管 理等方面需求迫切 ,如投资组合优化需处理海量数据以寻找最佳资产配置方案。两个行业对算力需求各异,且在部署方面对量 子计算机的环境、接口等有特定要求。 3. 量子计算应用能力体系框架:应用能力关键指标涵盖计算需求和应用能力指标。计算需求包括计算时长、精度、规模和效能 等;应用能力指标涉及硬件性能、算法性能、增强性能、扩展能力和部署能力等。同时 ...