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Course Outline

Foundations of Quantum Mechanics

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

Essentials of Quantum Computing

  • Quantum circuits and gate operations
  • Measurement techniques and qubit control
  • Overview of fundamental quantum algorithms

Exploring Quantum Algorithms

  • General overview of algorithmic approaches
  • The Quantum Fourier transform and its uses
  • Grover's algorithm for database searching

Quantum AI and Machine Learning

  • Algorithms for quantum machine learning
  • Structures of quantum neural networks
  • Prospective applications of Quantum AI technologies

Challenges and Future Trajectories

  • Current technical obstacles in Quantum AI
  • Ethical frameworks and societal impacts
  • Emerging trends and areas for future research

Practical Laboratory Project

  • Simulation of quantum algorithms using frameworks like Qiskit
  • Construction of a basic quantum machine learning model
  • Collaborative group work to propose innovative Quantum AI applications

Requirements

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

Target Audience

  • AI professionals
  • AI researchers
 14 Hours

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