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 Duration 14 hours

Course Outline

Quantum Computing Fundamentals

  • Essential quantum principles for developing algorithms
  • Comprehending qubits, gates, and measurement processes
  • The significance of quantum circuits in computational tasks

Getting Started with Google Willow

  • Navigating the Willow workspace
  • Utilizing simulators and physical quantum hardware
  • Overseeing tasks and managing computational resources

Constructing Quantum Circuits

  • Architecting parameterized circuits
  • Controlling gates and quantum operations
  • Running basic circuits on the Willow platform

Applying Fundamental Quantum Algorithms

  • Developing algorithms such as Grover’s algorithm and the Quantum Fourier Transform (QFT)
  • Assessing algorithm performance on quantum hardware
  • Benchmarking against classical computational methods

Advanced Algorithmic Architecture

  • Building circuits tailored to specific problems
  • Incorporating noise mitigation strategies
  • Scaling solutions and optimizing circuit depth

Hybrid Quantum-Classical Workflows

  • Orchestrating workflows using Python libraries
  • Bridging classical code with executions on Willow
  • Developing reusable algorithmic modules

Testing, Debugging, and Refinement

  • Diagnosing circuit errors using simulator tools
  • Profiling the performance of quantum algorithms
  • Implementing strategies for optimization

Deployment of Quantum Algorithms

  • Submitting jobs via the Willow interface
  • Analyzing execution results
  • Iterating to enhance algorithmic efficiency

Conclusion and Future Directions

Requirements

  • A solid grasp of core programming concepts
  • Proficiency with Python or similar programming languages
  • A foundational understanding of quantum computing principles

Target Audience

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

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Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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