One of the global leaders in multiverse computing, quantum computing technology and quantum based solutions Machine learningThe winner, along with two other companies, received 100 thousand pounds (R$ 611 thousand, in conversion) from Innovate UK, using quantum methods to develop a large-scale forecast system against floods caused by climate change around the world. enjoy.
Cooperation with the British Government
The project is overseen by the United Kingdom’s Department for Environment, Food and Rural Affairs (DEFRA), in partnership with two other companies: US-based Moody’s Analytics and UK-based Oxford Quantum Circuits (OQC).
As a supporter of the project, the UK will be the first country to benefit from new flood prevention methods developed by the trio, which address the limitations imposed by more traditional methods, decision-making and risk analysis. Flood and flood, something very accurate and efficient.
Multiverse Computing is the prime contractor for the project, providing the software used during the development of the new block models, and contributing to the algorithm development and technical formulation of the problem. Quantum equipment will be provided by OQC, while Moody’s Analytics will be responsible for analyzing data for computational performance, as well as being a key source of experience and information in the field.
Solving Quantum Algorithms
According to Enrique Lizazo Olmos, founder and CEO of Multiverse Computing, using quantum algorithms to prevent flood damage can significantly reduce both the efficiency and effectiveness of large-scale models. Change and extreme flood risk.
“Understanding changes in flood risk will help us combat extreme weather events, from government agencies that mitigate these risks to citizens trying to protect their homes and property, as well as insurance companies that calculate these risks,” Lisaso Olmos said during an interview.
Flood risk modeling involves a complex two-dimensional hydrodynamic model responsible for solving the shallow water equations (SWE), which describe the flow of water in all relevant scenarios of flooding, such as dam breaks, storms, or river flooding. Unfortunately, the cost associated with computer simulation using sophisticated models is the most limiting factor. In this case, quantum computing can help solve the problem.
Thomas J. of IBM in Yorktown Heights, New York. A model of the interior of a quantum computer at the Watson Research Center. (Photo: Reproduction/The New York Times/James Estrin)
According to Sergio Gago, general director of quantum and generative AI at Moody’s Analytics, the emergence of new technologies — such as the quantum computing used in the project — will help reduce costs. In particular, the director believes there is great potential in harnessing Machine learning Quantum technology (QML) creates functional “prototypes” that serve as a viable alternative to traditional physics-based models.
The first phase of the project should last till November 30, 2023, and if the results of the study hold, the second phase will start in January 2024 and last for 15 months.
Featured Image: Flooding caused by a rising river in York, England. Reproduction/Image Stock Photo/Gary Colton/Carbonbrief
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