Fundamentals of Quantum Machine Learning
Quantum Machine Learning (QML) is an interdisciplinary field that merges quantum computing with machine learning techniques. This course provides an advanced understanding of QML principles, exploring quantum algorithms and their applications in solving complex computational problems.
What You'll Learn
Quantum Computing Fundamentals
Understand the core principles of quantum computing, including qubits, superposition, and entanglement.
Quantum Algorithms
Explore key quantum algorithms like Grover's and Shor's algorithms and their relevance to machine learning.
Quantum Machine Learning Models
Learn how to design and implement quantum-enhanced machine learning models.
Hybrid Quantum-Classical Systems
Analyze the integration of quantum and classical computing systems to enhance machine learning tasks.
Optimization Techniques
Examine advanced optimization techniques specific to quantum machine learning.
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