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Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Differentiating between classical and quantum computing paradigms.
- Key concepts: superposition and entanglement.
- Quantum gates and circuit design.
An Overview of Google Willow
- Google’s recent progress in the field of quantum computing.
- The architectural details of Willow, including its 105-qubit design.
- Significant breakthroughs in error correction enabled by Willow.
Essentials of Quantum Programming
- Configuring Qiskit for quantum development tasks.
- Coding and executing fundamental quantum circuits.
- Simulating quantum computation processes.
Quantum Algorithms and Practical Applications
- An introduction to various quantum algorithms.
- Use cases in cryptography and optimization problems.
- The role of Google Willow in enhancing quantum performance metrics.
Practical Labs and Industry Case Studies
- Constructing simple quantum circuits from scratch.
- Delving into quantum computing simulations.
- Evaluating the application of quantum computing across industries.
The Future Outlook of Quantum Computing
- Navigating the challenges and opportunities in the quantum sector.
- Emerging trends in both quantum hardware and software ecosystems.
- Recommended next steps for further learning and career development.
Recap and Future Directions
Requirements
- A foundational knowledge of mathematics and linear algebra.
- Basic proficiency in programming, with a preference for Python.
- No previous experience in quantum computing is necessary.
Target Audience
- IT professionals looking to expand their skills into quantum computing.
- Technology enthusiasts interested in exploring the realm of quantum computing.