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Episode 78: Quantum Machine Learning with Bruna Shinohara

Physics Frontiers

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Exploring Quantum Algorithms and Complexity

This chapter explores foundational concepts in quantum computing, with a special focus on qubits and their manipulation through operations like the Hadamard and CNOT gates. It discusses the relationship between quantum and classical algorithms, the challenges of proving quantum superiority, and the implications for quantum machine learning. Additionally, it highlights the algorithmic complexities involved in operations such as the HHL algorithm and their effects on overall performance.

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