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Duration 14 hours
Course Outline
Foundations of Quantum Mechanics
- Core principles of quantum mechanics.
- Concepts of quantum states and qubits.
- The phenomena of superposition and entanglement.
Basics of Quantum Computing
- Quantum circuits and the role of quantum gates.
- Measurement processes and qubit manipulation.
- An introductory look at quantum algorithms.
Exploring Quantum Algorithms
- A broad overview of quantum algorithms.
- The Quantum Fourier Transform and its uses.
- Grover's algorithm for database searching.
Quantum AI and Machine Learning
- Algorithms for quantum machine learning.
- The structure of quantum neural networks.
- Key potential applications in the field of Quantum AI.
Challenges and the Future of Quantum AI
- Current technical obstacles in Quantum AI.
- Ethical considerations and broader societal impact.
- Emerging trends and future research pathways.
Practical Lab Project
- Simulating quantum algorithms using Qiskit or equivalent quantum frameworks.
- Constructing a basic quantum machine learning model.
- Collaborating in a group project to propose a novel Quantum AI application.
Requirements
- A foundational grasp of linear algebra and quantum mechanics.
- Proficiency in Python programming.
Target Audience
- AI professionals.
- AI researchers.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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