Get in Touch

Course Outline

Foundations of Quantum Mechanics

  • Core principles of quantum mechanics
  • Concepts of quantum states and qubits
  • The nature of superposition and entanglement

Basics of Quantum Computing

  • Structure of quantum circuits and quantum gates
  • Techniques for quantum measurement and qubit control
  • Familiarization with quantum algorithms

Quantum Algorithms

  • General overview of quantum algorithmic approaches
  • The Quantum Fourier Transform and its practical uses
  • Grover's algorithm applied to database searching

Intersection of Quantum AI and Machine Learning

  • Quantum-based machine learning methods
  • Designing quantum neural networks
  • Exploring the practical applications of Quantum AI

Challenges and Future Trajectories

  • Current technical hurdles in Quantum AI
  • Ethical aspects and broader societal effects
  • Emerging trends and future research paths in Quantum AI

Practical Lab Project

  • Simulating quantum algorithms via Qiskit or comparable quantum computing platforms
  • Building a basic quantum machine learning model
  • Group collaboration to design a novel application for Quantum AI

Requirements

  • A solid foundation in linear algebra and quantum mechanics
  • Proficiency in Python programming

Target Audience

  • AI professionals
  • AI researchers
 14 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories