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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Comprehending qubits, gates, and measurement processes
- The significance of quantum circuits in computational tasks
Getting Started with Google Willow
- Navigating the Willow workspace
- Utilizing simulators and physical quantum hardware
- Overseeing tasks and managing computational resources
Developing Quantum Circuits
- Architecting parameterized circuits
- Controlling gates and quantum operations
- Running basic circuits on the Willow platform
Deploying Core Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Assessing algorithm performance on hardware
- Benchmarking classical versus quantum capabilities
Advanced Algorithmic Engineering
- Formulating problem-specific circuit designs
- Incorporating noise-mitigation methods
- Optimizing circuit depth for scalability
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Linking classical code with Willow executions
- Constructing reusable algorithmic modules
Testing, Debugging, and Refinement
- Troubleshooting circuits with simulator utilities
- Analyzing quantum algorithm performance metrics
- Implementing strategic optimizations
Deploying Quantum Algorithms
- Submitting jobs via the Willow interface
- Evaluating execution results
- Iterating on algorithm enhancements
Wrap-up and Future Directions
Requirements
- A solid grasp of fundamental programming concepts
- Proficiency with Python or comparable programming languages
- Familiarity with basic principles of quantum computing
Target Audience
- Software Developers
- AI Researchers
- Data Scientists exploring emerging technologies