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Duration 14 hours
Course Outline
Quantum Computing Fundamentals
- Essential quantum concepts for algorithm creation
- Comprehending qubits, gates, and measurement processes
- The function of quantum circuits in computational tasks
Getting Started with Google Willow
- Navigating the Willow workspace
- Utilizing simulators and physical quantum hardware
- Overseeing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuit structures
- Manipulating quantum gates and operations
- Running basic circuits on the Willow platform
Implementing Fundamental Quantum Algorithms
- Building algorithms such as Grover’s search and QFT
- Analyzing algorithm behavior on physical hardware
- Benchmarking classical against quantum performance
Advanced Algorithm Architecture
- Developing circuits tailored to specific problems
- Incorporating noise mitigation strategies
- Scaling and refining circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows using Python libraries
- Bridging classical code with Willow executions
- Creating reusable algorithmic modules
Testing, Debugging, and Performance Tuning
- Debugging circuits with simulator utilities
- Profiling the performance of quantum algorithms
- Applying strategic optimization techniques
Deployment of Quantum Algorithms
- Submitting jobs via the Willow interface
- Analyzing execution results
- Refining algorithms through iterative improvement
Wrap-Up and Future Directions
Requirements
- Proficiency in fundamental programming concepts
- Practical experience with Python or comparable programming languages
- Foundational knowledge of quantum computing principles
Target Audience
- Software Developers
- AI Researchers
- Data Scientists engaging with emerging technologies