Standard Chartered and Universities Space Research Association (USRA) are partnering to develop quantum-inspired machine learning techniques for Environmental, Social, and Governance (ESG) applications, aiming to improve natural disaster forecasting and work towards a Net Zero future.
Quantum computing is not just about faster calculations and breaking encryption codes; it can also bring about a major revolution in the way we tackle environmental and social issues! Standard Chartered and the Universities Space Research Association (USRA) are partnering to harness the power of quantum computing for Environmental, Social, and Governance (ESG) applications. This collaboration aims to develop advanced machine learning techniques to forecast natural disasters, such as floods and cyclones, and explore how current and future quantum processors can improve upon existing classical machine learning methods.
Elena Strbac, Global Head of Data Science and Innovation at Standard Chartered, emphasizes the importance of quantum computing in accelerating global goals towards Net Zero emissions, which is critical for the future of our planet. This partnership will allow both organizations to work together with world-class academic researchers and develop quantum advantageous solutions, testing and evaluating the limits of current and future digital and quantum approaches.
The collaboration between Standard Chartered and USRA is not only about achieving quantum advantage in real-world use cases, but also about mitigating the impact of disasters such as wildfires and floods. As Dr. David Bell, Director of the Research Institute for Advanced Computer Science (RIACS) at USRA, points out, this partnership brings together an interdisciplinary team of scientists in quantum computing, environmental data sciences, and machine learning to address computationally demanding problems in ESG applications. With their combined efforts, we can expect quantum computing to revolutionize the way we approach and solve complex environmental and social challenges.