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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 significance of quantum circuits in computation
Getting Started with Google Willow
- Exploring the Willow workspace
- Utilizing simulators and quantum hardware
- Managing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Manipulating gates and operations
- Running basic circuits on Willow
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analysing algorithm behavior on hardware
- Comparing classical versus quantum performance
Advanced Algorithm Design
- Developing problem-specific circuits
- Integrating noise-mitigation techniques
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Using Python libraries to orchestrate workflows
- Connecting classical code with Willow executions
- Building reusable algorithmic components
Testing, Debugging, and Optimization
- Debugging circuits using simulator tools
- Profiling quantum algorithm performance
- Applying optimization strategies
Deploying Quantum Algorithms
- Submitting tasks through the Willow interface
- Reviewing execution outcomes
- Iterating on algorithm improvements
Summary and Next Steps
Requirements
- A solid grasp of fundamental programming principles
- Proficiency in Python or comparable programming languages
- Basic knowledge of quantum computing fundamentals
Intended Audience
- Software Developers
- AI Researchers
- Data scientists engaging with emerging technologies
