Course Outline
Quantum Computing Foundations
- Essential quantum concepts for algorithm development
- Understanding qubits, logic 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 fundamental programming concepts
- Experience with Python or similar programming languages
- Basic knowledge of quantum computing principles
Target Audience
- Software Developers
- AI Researchers
- Data Scientists engaged 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!
