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Duration 14 hours
Course Outline
Quantum Computing Fundamentals
- Essential quantum concepts for algorithm development
- Comprehending qubits, gates, and measurements
- The significance of quantum circuits in computation
Getting Started with Google Willow
- Navigating the Willow workspace
- Utilizing simulators and quantum hardware
- Overseeing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Manipulating gates and quantum operations
- Running simple circuits on Willow
Implementing Key Quantum Algorithms
- Building algorithms like Grover’s and QFT
- Analyzing algorithm behavior on physical hardware
- Benchmarking classical against quantum performance
Advanced Algorithm Engineering
- Developing problem-specific circuits
- Implementing noise-mitigation techniques
- Scaling and optimizing circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows with Python libraries
- Linking classical code with Willow executions
- Building reusable algorithmic modules
Testing, Debugging, and Refinement
- Debugging circuits using simulator tools
- Profiling quantum algorithm efficiency
- Applying strategic optimization techniques
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Evaluating execution results
- Iterating on algorithm enhancements
Summary and Future Directions
Requirements
- A solid grasp of core programming concepts
- Proficiency with Python or comparable programming languages
- Foundational knowledge of quantum computing principles
Target Audience
- Software developers
- AI researchers
- Data scientists engaged with emerging technologies