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 Duration 14 hours

Course Outline

Foundations of Quantum Computing

  • Essential quantum concepts for algorithm development
  • Comprehending qubits, gates, and measurements
  • The function of quantum circuits in computation

Introduction to Google Willow

  • Navigating the Willow workspace
  • Interacting with simulators and quantum hardware
  • Handling tasks and computational resources

Constructing Quantum Circuits

  • Designing parameterized circuits
  • Managing gates and operations
  • Running basic circuits on Willow

Implementing Fundamental Quantum Algorithms

  • Building algorithms like Grover’s and QFT
  • Analyzing algorithm performance on hardware
  • Comparing classical and quantum efficiency

Advanced Algorithm Design

  • Developing problem-specific circuits
  • Implementing 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

  • Troubleshooting circuits with simulator tools
  • Profiling quantum algorithm performance
  • Implementing optimization strategies

Deploying Quantum Algorithms

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

Overview and Future Steps

Requirements

  • Familiarity with fundamental programming concepts
  • Proficiency in Python or comparable programming languages
  • Basic knowledge of quantum computing principles

Target Audience

  • Developers
  • AI researchers
  • Data scientists utilizing emerging technologies

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