Net-zero goals necessitate a sophisticated mix of energy transitions. While quantum computing is a promising tool for addressing the inherent optimization challenges, the synergistic power of Quantum and Artificial Intelligence extends our capabilities, offering a more comprehensive solution to tame the evolving sustainable energy landscape of Energy 5.0 effectively. This talk will cover:

• Quantum-enhanced optimization to reduce energy dissipation and loss through the lifecycle of energy, irrespective of energy source.

• Algorithmic material using inverse molecular discovery for advanced energy storage

• Synergistic Quantum + AI approaches for comprehensive energy planning and decision-making in the complex landscape of energy mix. 

 organizations can prepare for the quantum-AI era and leverage its transformative potential. 

• How is quantum computing helping energy companies improve grid management and optimize energy distribution for greater efficiency? 
• What role can quantum technologies play in accelerating the development of sustainable energy solutions and enhancing resource allocation? 
• How can quantum simulations advance the development of next-generation materials for energy storage and battery technologies?