Automation of Science and Quantum CAE
Tadashi Kadowaki
What impact might AI have on society if it surpasses human intelligence in the future? Recently, there has been growing discussion about the potential for AI to accelerate research and development in science and technology, suggesting that science itself is becoming a target for automation. Computational mechanics and Computer-Aided Engineering (CAE) are fields that have long embraced automation, and their insights could be widely applicable to other disciplines. Moreover, the integration of quantum computing into CAE holds the promise of further enhancing efficiency in product development and contributing to the broader automation of science. This paper explores the current state and future prospects of the automation of science and the role of quantum computing in CAE. We will discuss how these advancements might influence not only industrial processes but also scientific discovery, potentially leading to breakthroughs that were previously unimaginable. The knowledge gained from quantum computing in this domain could have far-reaching implications across various fields, offering new pathways to accelerate innovation and tackle complex challenges.
Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu•Jan 1, 2024•0 citations