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 Duration 14 hours

Course Outline

Foundations of Quantum Computing

  • Essential quantum concepts for algorithm development
  • Understanding 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 quantum operations
  • Running basic circuits on Willow

Implementing Fundamental Quantum Algorithms

  • Building algorithms such as Grover’s and QFT
  • Analyzing algorithm performance on hardware
  • Comparing classical versus quantum computational efficiency

Advanced Algorithmic Design

  • Creating circuits for specific problem domains
  • Incorporating noise-mitigation strategies
  • Scaling and optimizing circuit depth

Hybrid Quantum-Classical Workflows

  • Orchestrating workflows using Python libraries
  • Integrating classical code with Willow executions
  • Developing reusable algorithmic components

Testing, Debugging, and Performance Tuning

  • Debugging circuits using simulator tools
  • Profiling the performance of quantum algorithms
  • Implementing optimization techniques

Deployment of Quantum Algorithms

  • Submitting tasks via the Willow interface
  • Analyzing execution results
  • Iterating on algorithm enhancements

Summary and Future Directions

Requirements

  • A solid grasp of fundamental programming concepts
  • Proficiency in Python or equivalent programming languages
  • Basic knowledge of quantum computing principles

Target Audience

  • Software developers
  • AI researchers
  • Data scientists exploring emerging technologies

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