Using quantum and hybrid advanced computing to reduce aviation carbon emissions and environmental impact

利用量子和混合先进计算减少航空碳排放和环境影响

• 批准号: 10042971
• 金额: $ 6.37万
• 依托单位: QUANTUM BASE ALPHA LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10042971
• 关键词: Using; quantum; hybrid; advanced; computing

Quantum Base Alpha will investigate the potential of Quantum Computing (QC) to help solve a vital but currently intractable problem. The project's main focus is to minimise the carbon emissions caused by aviation by optimising flight paths.The Climate Change Committee, an independent body advising the UK Government ,has reported that Aviation currently produces 7% of UK Greenhouse Gas Emissions . By 2050,the legally binding target for Net Zero Carbon , it is predicted to be the key sector with significant remaining emissions . Given their view that major technological breakthroughs in aviation are unlikely to make significant differences given long development and certification lead times and the slow turnover of fleets , they conclude that aviation will be the largest emitting sector then.Hence , the need to improve the use of Airspace including the deployment of cutting edge tools in Air Traffic Control.This includes the need to research and develop the use of evolving Quantum Computing algorithms and their theoretical capability to improve current optimisation techniques alongside AI and Machine Learning.

Quantum Base Alpha将研究量子计算（QC）的潜力，以帮助解决一个重要但目前棘手的问题。该项目的主要重点是通过优化飞行路线来最大限度地减少航空造成的碳排放。气候变化委员会是一个为英国政府提供建议的独立机构，据报告，航空目前产生了英国7%的温室气体排放。到2050年，具有法律约束力的净零碳目标，预计将成为剩余排放量巨大的关键部门。鉴于他们认为，由于开发和认证的准备时间长，而且机队周转缓慢，航空领域的重大技术突破不太可能产生重大影响，因此他们得出结论，届时航空将成为最大的排放部门。需要改善空域的使用，包括在空中交通管制中部署先进的工具。这包括需要研究和开发使用不断发展的量子计算算法及其理论能力，以改善当前的优化技术以及人工智能和机器学习。