Achyut Chebiyam

How can ML/AI be used to improve our understanding of the bridge between quantum mechanics and classical physics?

Started Apr. 25, 2022

Abstract or project description

Quantum mechanics and classical physics, two of the most important branches of science explaining our world, are contradicting in nature. The search for a Grand Unified Theory of the universe that would be able to link these two branches so far with concrete foundations has been to no avail. So far, gravity has successfully been able to describe the movement of planets and stars. Quantum physics describes the physics of the subatomic world. Unfortunately, gravity currently has no concrete basis in quantum theory. Using various research papers and articles, this paper reviews the different theories addressing the gap in our understanding such as String Theory and Loop Quantum Gravity and why they fit with our expectations, as well as their shortcomings. It then goes over the different Machine Learning, Artificial Intelligence, and Deep Learning techniques and how these can be used for enhancing the search for constructing the bridge that links the understanding of the subatomic and macroscopic aspects of the universe. Finding out more about our universe can lead us to developing new technologies. For example, nuclear fission had to be discovered for us to create nuclear power plants and Einsteins’ theory of relativity was crucial to our modern accurate GPS systems. Similarly, discovering a bridge between quantum physics and gravity may give us new insight that we can incorporate in new technology. Furthermore, we would have a more complete general understanding of the mechanics of our universe. This review paper is aimed at helping high schoolers understand the various candidates for the Grand Unified Theory and how we may use ML/AI to further our understanding of the world.