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 Duration 14 hours

Course Outline

Foundations of Quantum Mechanics

  • Core principles of quantum mechanics
  • Quantum states and the concept of qubits
  • The phenomena of superposition and entanglement

Essentials of Quantum Computing

  • Quantum circuits and gate operations
  • Measurement techniques and qubit control
  • An introduction to algorithmic design in quantum systems

Advanced Quantum Algorithms

  • Comprehensive overview of quantum algorithmic strategies
  • The Quantum Fourier transform and its practical uses
  • Grover's algorithm applied to database searching

Integrating Quantum AI with Machine Learning

  • Algorithms for quantum machine learning
  • Architecture of quantum neural networks
  • Exploring the diverse applications of Quantum AI

Obstacles and the Horizon of Quantum AI

  • Addressing technical barriers in Quantum AI development
  • Ethical frameworks and societal consequences
  • Emerging trends and avenues for future research in Quantum AI

Practical Laboratory Exercise

  • Simulation of quantum algorithms utilizing Qiskit or equivalent quantum computing platforms
  • Construction of a rudimentary quantum machine learning model
  • Group collaboration to design an innovative Quantum AI application

Requirements

  • Fundamental knowledge of linear algebra and quantum mechanics
  • Proficiency in Python programming

Target Audience

  • AI Professionals
  • AI Researchers

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