Learn how to identify suitable problems for quantum computing in this 30-minute video from the Quantum Computing in Practice series. Explore broad guidelines for problem selection based on computational complexity theory and practical considerations, followed by analysis of three recent real-world applications. Examine detailed case studies including quantum simulations of hadron dynamics using the Schwinger Model with 112 qubits, bias-field digitized counterdiabatic quantum optimization, and mRNA secondary structure prediction using utility-scale quantum computers. Gain insights from current research papers and discover how to effectively leverage quantum computing capabilities for solving complex computational challenges.