Chemical giant BASF & Pasqual: using quantum neural network to optimize weather forecast

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In recent days, , German chemical giant BASF and French quantum computing company Pasqal Announced on Applications of quantum computing in the fields of weather and other computational fluid dynamics Expand cooperation . BASF will adopt Pasqal Proprietary quantum technology to improve its ability to predict weather , And lay the foundation for more effective climate change modeling .

Physical weather models are very complex , It involves the wind 、 Heat transfer 、 Solar radiation 、 Relative humidity 、 A large number of parameter data such as terrain topology . therefore , To achieve accurate weather forecasting, we need to solve complex nonlinear differential equations . According to international research institutions Hyperion Research The report , The investment of climate modeling in high-performance computing accounts for... Of the global high-performance computing market 5%.

Improve the ability of climate prediction , It is of great value to BASF . In digital agriculture , BASF simulates crop yields and growth stages based on parameters generated by weather models , So as to predict the role of chemical products in crop protection . at present , BASF has built an advanced crop optimization platform xarvio FIELD MANAGER.

Senior weather modeler, BASF agricultural solutions John Manobianco "Said Dr. ：“ With the maturity of quantum hardware , And the operation of Quantum Algorithm ,Pasqal Our quantum solution will greatly simplify our complex work in computational simulation . We will be with Pasqal Together to achieve innovation in weather modeling , Thus, it is verified that quantum computing has the ability to surpass classical high-performance computing . This technological transformation will help us prepare for the impact of climate change , Towards a more sustainable future .”

Based on neutral atom quantum processor ,Pasqal Committed to a new and more effective way —— Quantum neural networks , To solve potentially complex nonlinear differential equation problems . The classical equivalent of this method is physical information neural network (PINN), at present PINN It has been widely used in weather and climate modeling scenarios by scientists and technology companies . for example , NVIDIA recently released a new Earth-2 AI Supercomputers use PINN Make weather forecast .

Pasqal Of CEO Georges-Olivier Reymond Express ：“ We are pleased to cooperate with BASF, the world leader in the chemical industry , And improve weather modeling through our quantum technology . As climate change intensifies , We see more and more extreme weather , Accurate and timely weather forecasts are becoming more and more important to business and society . The cooperation with BASF will be an important step for quantum computing to help monitor and mitigate the worst effects of global climate change .” 

Link to the original text ：

https://www.theregister.com/2022/07/20/basf_pasqal_quantum/?td=keepreading

writing ：Brandon Vigliarolo

compile ： Huike

edit ： Mu Yi

notes ： Ben Translated from “theregister”, Do not represent Quantum outpost view .