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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 significance of quantum circuits in computation
Introduction to Google Willow
- Navigating the Willow workspace
- Utilizing simulators and quantum hardware
- Managing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Managing gates and operations
- Running basic circuits on Willow
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analyzing algorithm behavior on hardware
- Benchmarking classical versus quantum performance
Advanced Algorithm Design
- Developing problem-specific circuits
- Integrating noise-mitigation techniques
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Connecting classical code with Willow executions
- Creating reusable algorithmic components
Testing, Debugging, and Optimization
- Debugging circuits with simulator tools
- Profiling quantum algorithm performance
- Applying optimization strategies
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Analyzing execution results
- Iterating on algorithm enhancements
Summary and Next Steps
Requirements
- Familiarity with core programming concepts
- Proficiency in Python or comparable programming languages
- A foundational understanding of quantum computing principles
Target Audience
- Software developers
- AI researchers
- Data scientists exploring emerging technologies