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Attend a scientific computing seminar exploring the intersection of quantum and classical computing systems, presented by Vincenzo De Maio from the University of Leicester. Discover how hybrid quantum-classical computing can bridge the gap between quantum computing's transformative potential and current hardware limitations in size, reliability, and scalability. Learn about three key research pillars: understanding and optimizing hybrid quantum-classical workflows by analyzing how classical HPC workflows interact with quantum tasks and identifying orchestration failures; exploring current hybrid quantum-classical applications with focus on quantum optimization and quantum machine learning while examining limitations and future research directions; and characterizing the computational, memory, communication and energy demands of these applications to uncover performance bottlenecks and provide deployment guidelines. Gain insights from a leading researcher who has authored over 30 peer-reviewed papers in top venues and is advancing the field of hybrid quantum-classical scientific workflows, making quantum acceleration practical for current and future large-scale applications.
