Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development.
- Understanding qubits, gates, and measurements.
- The role of quantum circuits in computation.
Introduction to Google Willow
- Exploring the Willow workspace.
- Working with simulators and quantum hardware.
- Managing tasks and computational resources.
Building Quantum Circuits
- Designing parameterized circuits.
- Manipulating gates and operations.
- Executing simple circuits on Willow.
Implementing Core Quantum Algorithms
- Constructing algorithms such as Grover’s and QFT.
- Analyzing algorithm behavior on hardware.
- Comparing classical and quantum performance.
Advanced Algorithm Design
- Creating problem-specific circuits.
- Integrating noise-mitigation techniques.
- Scaling and optimizing circuit depth.
Hybrid Quantum-Classical Workflows
- Using Python libraries to orchestrate workflows.
- Connecting classical code with Willow executions.
- Building reusable algorithmic components.
Testing, Debugging, and Optimization
- Debugging circuits using simulator tools.
- Profiling quantum algorithm performance.
- Applying optimization strategies.
Deploying Quantum Algorithms
- Submitting tasks through the Willow interface.
- Reviewing execution outcomes.
- Iterating on algorithm improvements.
Summary and Next Steps
Requirements
- A solid understanding of core programming concepts.
- Experience with Python or similar programming languages.
- Basic familiarity with the fundamental principles of quantum computing.
Audience
- Software Developers
- AI Researchers
- Data Scientists working with emerging technologies
Testimonials (1)
Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!
