Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges

TL;DR

This paper explores how quantum computing can revolutionize energy materials research by overcoming classical computational limitations, highlighting opportunities, challenges, and future prospects for quantum-enhanced material design and simulation.

Contribution

It provides a comprehensive overview of the potential and challenges of applying quantum computing to energy materials development, including case studies and future outlooks.

Findings

Quantum computing can address complex energy material problems.

Combining QC with classical methods enhances material design.

Fault-tolerant QC could achieve predictive accuracy for complex systems.

Abstract

Developing high-performance materials is critical for diverse energy applications to increase efficiency, improve sustainability and reduce costs. Classical computational methods have enabled important breakthroughs in energy materials development, but they face scaling and time-complexity limitations, particularly for high-dimensional or strongly correlated material systems. Quantum computing (QC) promises to offer a paradigm shift by exploiting quantum bits with their superposition and entanglement to address challenging problems intractable for classical approaches. This perspective discusses the opportunities in leveraging QC to advance energy materials research and the challenges QC faces in solving complex and high-dimensional problems. We present cases on how QC, when combined with classical computing methods, can be used for the design and simulation of practical energy materials. We also outline the outlook for error-corrected, fault-tolerant QC capable of achieving predictive accuracy and quantum advantage for complex material systems.