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Explore the fundamental concepts behind Sample-Based Quantum Diagonalization (SQD) and Sample-Based Krylov Quantum Diagonalization (SKQD) in this 45-minute lecture from the Quantum Global Summer School 2025. Learn about these quantum centric supercomputing algorithms designed for approximating eigenstates of many-body Hamiltonians. Discover how SQD and SKQD techniques are applied to study ground state properties of systems with interacting electrons, gaining insights into cutting-edge quantum computational methods for solving complex many-body quantum systems.
