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Course Outline

Introduction to Quantum Computing

  • Comparison of classical and quantum computing paradigms
  • Core principles: superposition and entanglement
  • Quantum gates and circuit architecture

Overview of Google Willow

  • Google’s progress in quantum research
  • Architecture specifications of the 105-qubit Willow processor
  • Advances in quantum error correction

Fundamentals of Quantum Programming

  • Configuration of Qiskit for development
  • Development and execution of elementary quantum circuits
  • Simulation of quantum operations

Quantum Algorithms and Practical Applications

  • Overview of quantum algorithmic frameworks
  • Use cases in cryptography and optimization
  • Performance enhancements provided by Google Willow for government

Practical Labs and Industry Applications

  • Construction of basic quantum circuits
  • Execution of quantum simulations
  • Assessment of sector-specific implementations for government

The Future of Quantum Computing

  • Barriers and opportunities within the quantum landscape
  • Trends in emerging quantum hardware and software
  • ional guidance for continued education and professional development

Summary and Strategic Next Steps

Requirements

  • Foundational knowledge of mathematics and linear algebra principles
  • Competency in programming languages, with Python as the preferred option
  • No previous exposure to quantum computing concepts is necessary

Target Audience

  • Information technology personnel seeking to transition into the quantum computing sector
  • Technology professionals interested in examining quantum computing solutions for government applications
 14 Hours

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