Quantum Computing in the Era of Intelligent Battery Design

Abstract

Quantum computers can fix problems that regular computers can't. Quantum computing is used to quickly find new materials with useful properties, correctly simulate electrochemical processes at the atomic level, and make batteries work better and last longer by tweaking their structures. The authors also look into how quantum models can help us understand the complexities of charge transport, interface phenomena, and degradation pathways in batteries better. Combining quantum computing with research methods like quantum sensing and quantum annealing might make it easier to test theoretical theories and get around problems that come up in real life. Scientists can learn more about how batteries work by using quantum computing. This will lead to the creation of advanced battery management systems and personalized energy storage solutions. This work shows how quantum computing is changing the way batteries are designed, optimized, and understood. As a result, it starts a major shift in energy storage systems that makes them much more efficient and better for the environment.