Artículo: AMZ-B0F2SRDJTW

Artificial Intelligence for Quantum Machine Learning: Maximizing AI and Quantum Computing for Next-Gen ML

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Sin stock
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0.20 kg
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No
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Nuevo
Producto de
Amazon

Sobre este producto
  • The fundamentals of quantum computing, including qubits, superposition, entanglement, and quantum gates
  • Core concepts of Quantum Machine Learning and how it differs from classical machine learning
  • Techniques for encoding classical data into quantum systems using quantum feature maps and kernels
  • Practical tools and frameworks like Qiskit, PennyLane, and Cirq to build QML models
  • Implementation of hybrid quantum-classical models and quantum neural networks
  • Advanced quantum algorithms including QAOA, VQE, and Quantum GANs
  • Real-world applications of QML in drug discovery, financial modeling, cryptography, and anomaly detection
  • Challenges, limitations, and the future roadmap of quantum-powered AI systems

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