量子计算发展现状及其在油气领域的应用潜力
Analysis of the current status of quantum computing development and its application potential in oil and gas fields
张阳禹 1郝宏娜 1李奕政 2夏玉涵 1周媛媛 1刘宁1
作者信息
- 1. 中国海油集团能源经济研究院
- 2. 香港理工大学
- 折叠
摘要
量子计算被各国列为未来重要的科技制高点,近年来呈高速发展态势.各国在政策引导、资金支持、专利布局和产业生态建设方面加强布局,主要国家和技术领先企业加强合作攻关,开展"量超融合"和量子计算云平台等关键技术研发.各大国际石油公司近年来围绕量子计算与相关科技公司开展联合研究,以期利用量子计算的潜在优势突破业务难点.在当前智能化发展时代,油气行业面临海量的数据计算分析需求,量子计算在分子模拟和海量地下数据分析等方面具备一定的应用潜力,同时在信息安全等方面具有独特优势.建议中国油气公司开展量子计算的跟踪和布局,积极与量子计算科技公司和科研院所开展合作,推进量子计算在油气行业的应用和转化.
Abstract
Quantum computing has been thought as an important scientific and technological high point in the future by various countries,and developed rapidly in recent years.Countries have strengthened the layout in terms of policy guidance,financial support,patent layout,and industrial ecological construction,and major countries and technology-leading enterprises have strengthened cooperation in research and development to carry out research and development of key technologies,such as"combination of quantum computing and super-convergence technology"and quantum computing cloud platforms.In recent years,major international oil companies have conducted joint research with relevant technology companies on quantum computing,with a view to exploiting the potential benefits of quantum computing to break through business difficulties.In the current era of intelligent development,the oil and gas industry is facing the demand for huge amounts of data computation and analysis,and quantum computing has certain application potential in molecular simulation and massive underground data analysis with unique advantages in information security at the same time.It is recommended that China's oil and gas companies carry out quantum computing tracking and layout,actively cooperate with quantum computing technology companies and research institutes,and promote the application and transformation of quantum computing in the oil and gas industry.
关键词
量子计算/技术趋势/应用潜力/油气行业/启示建议Key words
quantum computing/technology trends/application potential/oil and gas industry/implications and suggestions引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据