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12min chapter
851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart
Super Data Science: ML & AI Podcast with Jon Krohn
Harnessing Quantum Machine Learning
This chapter explores the practical applications of quantum machine learning, advocating for a hybrid approach that integrates classical and quantum computing to solve specific problems. It delves into the role of TerraQuantum and the complexities of combining high-performance classical computing with quantum capabilities, emphasizing user-friendly integration. Additionally, the chapter highlights fundamental concepts in quantum computing, such as qubits, superposition, and the significance of quantum gates and circuit management in effective computation.
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