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Learn how to map complex problems to quantum computers through practical examples and generalized approaches in this 29-minute educational video from Qiskit's Quantum Computing in Practice series. Explore the most challenging aspect of quantum problem-solving as the instructor walks through key examples from recent research papers, including resource-efficient quantum algorithms for protein folding and quantum simulations of hadron dynamics using 112 qubits. Discover strategies to overcome the lack of easy frameworks in quantum problem mapping by examining real-world applications and understanding how different approaches can be generalized across various quantum computing scenarios.
Syllabus
Mapping a Problem to a Quantum Computer | Quantum Computing in Practice
Taught by
Qiskit