Quantum Deep Learning

  1. Quantum Deep Learning- Part-1 (Basics of Quantum Deep Learning).

Content:

  • Comparison of Classical Vs Quantum Deep Learning Architectural Flows
  • Basics of Quantum Deep Learning
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  1. Quantum Deep Learning- Part-2 (Basics of Quantum Deep Learning).

Content:

  • Basics of Quantum Deep Learning
  • Quantum Entanglement,
  • Quantum Superposition and its use in Quantum Deep Learning.

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  1. Quantum Deep Learning- Part-3 (Qubit & Notations for Quantum Deep Learning).

Content:

  • Bit Vs Qubit System.
  • Notations for Quantum Deep Learning.
  • Qubit System in details
  • Different Qubit Representations
  • Operations on Qubits.

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  1. Quantum Deep Learning- Part-4 (Quantum Gates for Quantum Deep Learning).

Content:

  • Details of Quantum Gates.
  • Connecting Quantum Superpositions and Entanglement with Quantum Gates.
  • Applications with Examples.
  • Use of Quantum Gates in Quantum Circuits.

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  1. Quantum Deep Learning- Part-5 (Developing First Quantum Deep Learning Architecture).

Content:

  • Quantum Circuits Explained.
  • Using Quantum Circuits for:
  • Quantum Encoding
  • Hidden layer Design
  • Output Layer Design
  • Loss and Gradient Computations

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  1. Quantum Deep Learning- Part-6 (Quantum CNN Architecture).

Content:

  • Comparison of Classical Vs Quantum CNN
  • Using Quantum Circuits to Design
  • CNN Convolution Layer
  • CNN Pooling Layer.
  • Classification

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