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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Understanding qubits, gates, and measurements
- The function of quantum circuits in computation
Introduction to Google Willow
- Exploring the Willow workspace
- Utilising simulators and quantum hardware
- Managing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterised circuits
- Manipulating gates and operations
- Running simple circuits on Willow
Implementing Core Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analysing algorithm behaviour on hardware
- Comparing classical and quantum performance
Advanced Algorithm Design
- Creating problem-specific circuits
- Incorporating noise-mitigation techniques
- Scaling and optimising circuit depth
Hybrid Quantum-Classical Workflows
- Using Python libraries to orchestrate workflows
- Linking classical code with Willow executions
- Creating reusable algorithmic components
Testing, Debugging, and Optimisation
- Debugging circuits using simulator tools
- Profiling quantum algorithm performance
- Applying optimisation strategies
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Reviewing execution outcomes
- Iterating on algorithm improvements
Summary and Next Steps
Requirements
- A grasp of fundamental programming concepts
- Proficiency in Python or a comparable language
- A basic understanding of quantum computing principles
Target Audience
- Developers
- AI researchers
- Data scientists engaged with emerging technologies
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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