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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