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Course Outline
Introduction to Quantum Mechanics
- Core principles of quantum mechanics
- Quantum states and qubits
- Superposition and entanglement
Fundamentals of Quantum Computing
- Quantum circuits and gates
- Quantum measurement and qubit manipulation
- Overview of quantum algorithms
Quantum Algorithms
- General overview of quantum algorithms
- Quantum Fourier transform and its applications
- Grover's algorithm for database search
Quantum AI and Machine Learning
- Quantum machine learning algorithms
- Quantum neural networks
- Potential applications of Quantum AI
Challenges and Future Perspectives of Quantum AI
- Technical hurdles in Quantum AI
- Ethical considerations and societal impact
- Future trends and research directions in Quantum AI
Laboratory Project
- Simulating quantum algorithms using Qiskit or similar frameworks
- Developing a basic quantum machine learning model
- Collaborating on a group project to propose an innovative application of Quantum AI
Summary and Next Steps
Requirements
- Fundamental knowledge of linear algebra and quantum mechanics
- Proficiency in Python programming
Target Audience
- AI professionals
- AI researchers
14 Hours
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 3200 € + VAT*
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