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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

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