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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Understanding qubits, gates, and measurement processes
- The function of quantum circuits in computation
Getting Started with Google Willow
- Exploring the Willow workspace
- Utilizing simulators and quantum hardware
- Managing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Manipulating gates and quantum operations
- Running basic circuits on Willow
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analyzing algorithm performance on hardware
- Comparing classical versus quantum computational efficiency
Advanced Algorithmic Design
- Creating circuits for specific problem domains
- Incorporating noise-mitigation strategies
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Integrating classical code with Willow executions
- Developing reusable algorithmic components
Testing, Debugging, and Performance Tuning
- Debugging circuits using simulator tools
- Profiling the performance of quantum algorithms
- Implementing optimization techniques
Deployment of Quantum Algorithms
- Submitting tasks via the Willow interface
- Analyzing execution results
- Iterating on algorithm enhancements
Summary and Future Directions
Requirements
- A solid grasp of fundamental programming concepts
- Proficiency in Python or equivalent programming languages
- Basic knowledge of quantum computing principles
Target Audience
- Software developers
- AI researchers
- Data scientists exploring emerging technologies