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Course Outline
Introduction to Quantum Computing
- Comparing classical and quantum computing.
- Fundamental principles: superposition and entanglement.
- Quantum gates and circuits.
Overview of Google Willow
- Google’s advancements in quantum computing.
- The architecture of Willow and its 105-qubit design.
- Error correction breakthroughs achieved with Willow.
Quantum Programming Fundamentals
- Setting up Qiskit for quantum programming.
- Writing and running basic quantum circuits.
- Simulating quantum computations.
Quantum Algorithms and Applications
- Introduction to quantum algorithms.
- Applications in cryptography and optimization.
- How Google Willow enhances quantum performance.
Hands-on Labs and Real-World Use Cases
- Building simple quantum circuits.
- Exploring quantum computing simulations.
- Analyzing industry applications of quantum computing.
Future of Quantum Computing
- Challenges and opportunities in quantum computing.
- Emerging trends in quantum hardware and software.
- Next steps for learning and potential career paths.
Summary and Next Steps
Requirements
- A basic understanding of mathematics and linear algebra.
- Familiarity with programming concepts, preferably in Python.
- No prior knowledge of quantum computing is required.
Target Audience
- IT professionals looking to transition into the field of quantum computing.
- Technology enthusiasts interested in exploring quantum computing.
14 Hours
