Quantum Computers in the Energy Sector

Will near-term quantum computing deliver advantages beyond today's best classical and AI methods for energy-relevant problems? Advances in quantum hardware, error mitigation, and algorithmic co-design indicate growing potential, particularly in chemistry, materials discovery, nuclear and fusion modeling, grid optimization, and energy system simulation—areas where classical methods face limits in accuracy or scale. A central theme is full-stack co-design, aligning algorithms, compilers, error correction, and hardware to reduce resource demands and enable practical utility. This talk examines where quantum computing may realistically impact energy technologies, how hybrid quantum–classical workflows complement AI and HPC, and what milestones are required to move from proof-of-concept demonstrations to mission-relevant applications. Looking ahead, quantum-native methods and coordinated efforts across academia, industry, and government may translate today's pilots into competitive, societally impactful energy solutions over the next decade.