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

量子基础Alpha将研究量子计算（QC）的潜力，以帮助解决一个至关重要但目前难以解决的问题。该项目的主要重点是通过优化飞行路径来最大限度地减少航空造成的碳排放。气候变化委员会，一个为英国政府提供咨询的独立机构，报告称航空业目前产生了英国7%的温室气体排放。到2050年，即具有法律约束力的净零碳排放目标，预计它将成为剩余排放量巨大的关键部门。考虑到航空业的重大技术突破不太可能产生重大影响，因为航空业的研发和认证周期较长，机队的周转率也较低，他们得出结论，到那时航空业将成为最大的排放部门。因此，需要改善空域的使用，包括在空中交通管制方面部署尖端工具。这包括需要研究和开发不断发展的量子计算算法及其理论能力的使用，以改进当前的优化技术以及人工智能和机器学习。

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.