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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Grasping qubits, gates, and measurement processes
- The function 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 Core Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analyzing algorithm behavior on physical hardware
- Comparing classical versus quantum performance
Advanced Algorithm Design
- Developing problem-specific circuits
- Incorporating 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
- Debugging circuits with simulator tools
- Profiling quantum algorithm performance
- Applying optimization strategies
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Reviewing execution results
- Iterating on algorithm improvements
Summary and Next Steps
Requirements
- A solid grasp of core programming concepts
- Proficiency with Python or comparable programming languages
- A basic understanding of quantum computing principles
Target Audience
- Software Developers
- AI Researchers
- Data Scientists engaged with emerging technologies
