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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithmic development
- Comprehending qubits, gates, and measurement processes
- The function of quantum circuits in computational tasks
Getting Started with Google Willow
- Navigating the Willow workspace
- Utilizing simulators and quantum hardware
- Overseeing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuit structures
- Adjusting gates and operational sequences
- Running basic circuits on the Willow platform
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s and the QFT
- Evaluating algorithm performance on hardware
- Benchmarking classical versus quantum efficiency
Advanced Algorithmic Design
- Developing circuits for specific problem domains
- Incorporating noise-mitigation strategies
- Scaling and refining circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Linking classical code with Willow executions
- Developing reusable algorithmic modules
Testing, Debugging, and Refinement
- Diagnosing circuit issues using simulator tools
- Profiling the performance of quantum algorithms
- Implementing optimization techniques
Deploying Quantum Algorithms
- Submitting jobs via the Willow interface
- Analyzing execution results
- Iterating for algorithmic enhancement
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental programming concepts
- Proficiency in Python or comparable programming languages
- A foundational understanding of quantum computing principles
Target Audience
- Software developers
- AI researchers
- Data scientists focusing on emerging technologies