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Course Outline
Quantum Computing Foundations
- Key quantum concepts essential for algorithm development
- Understanding qubits, gates, and measurement processes
- The role of quantum circuits in computation
Introduction to Google Willow
- Exploring the Willow workspace
- Working with simulators and quantum hardware
- Managing tasks and computational resources
Building Quantum Circuits
- Designing parameterized circuits
- Manipulating gates and operations
- Executing simple circuits on Willow
Implementing Core Quantum Algorithms
- Constructing algorithms such as Grover’s and QFT
- Analyzing algorithm behavior on hardware
- Comparing classical and quantum performance
Advanced Algorithm Design
- Creating problem-specific circuits
- Integrating noise-mitigation techniques
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Using Python libraries to orchestrate workflows
- Connecting classical code with Willow executions
- Building reusable algorithmic components
Testing, Debugging, and Optimization
- Debugging circuits using simulator tools
- Profiling quantum algorithm performance
- Applying optimization strategies
Deploying Quantum Algorithms
- Submitting tasks through the Willow interface
- Reviewing execution outcomes
- Iterating on algorithm improvements
Summary and Next Steps
Requirements
- A solid understanding of core programming concepts
- Prior experience with Python or similar programming languages
- Basic familiarity with quantum computing principles
Target Audience
- Software Developers
- AI Researchers
- Data Scientists specializing in emerging technologies
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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