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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 role of quantum circuits in computational tasks
Getting Started with Google Willow
- Navigating the Willow workspace
- Utilizing simulators and quantum hardware
- Managing computational tasks and resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Manipulating quantum gates and operations
- Running basic circuits on Willow
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analyzing algorithm performance on hardware
- Benchmarking classical versus quantum efficiency
Advanced Algorithm Development
- 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 Refinement
- Troubleshooting circuits using simulator tools
- Profiling quantum algorithm performance
- Applying strategic optimization techniques
Deployment of Quantum Algorithms
- Submitting jobs via the Willow interface
- Analyzing execution results
- Iterating on algorithmic enhancements
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental programming concepts
- Practical experience with Python or comparable programming languages
- Basic knowledge of quantum computing principles
Target Audience
- Software Developers
- AI Researchers
- Data Scientists exploring emerging technologies