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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Comprehending qubits, gates, and measurements
- The function of quantum circuits in computation
Introduction to Google Willow
- Navigating the Willow workspace
- Interacting with simulators and quantum hardware
- Handling 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 like Grover’s and QFT
- Analyzing algorithm performance on hardware
- Comparing classical and quantum efficiency
Advanced Algorithm Design
- Developing problem-specific circuits
- Implementing noise-mitigation techniques
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Linking classical code with Willow executions
- Creating reusable algorithmic components
Testing, Debugging, and Optimization
- Troubleshooting circuits with simulator tools
- Profiling quantum algorithm performance
- Implementing optimization strategies
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Reviewing execution results
- Iterating on algorithm enhancements
Overview and Future Steps
Requirements
- Familiarity with fundamental programming concepts
- Proficiency in Python or comparable programming languages
- Basic knowledge of quantum computing principles
Target Audience
- Developers
- AI researchers
- Data scientists utilizing emerging technologies