Course Outline
Introduction to Google Willow
- Overview of Willow’s architecture and capabilities
- Navigating the quantum workspace for government applications
- Accessing hardware and simulators for robust testing environments
Quantum Fundamentals for Applied Use
- Essential principles in quantum algorithms
- Concepts of superposition, entanglement, and interference
- Core elements of quantum circuit design
Quantum Algorithms for Industry
- Summary of commonly utilized algorithms
- Evaluating algorithm performance metrics
- Criteria for selecting algorithms for practical applications
Use Cases in Finance
- Scenarios for portfolio optimization
- Enhancements in risk modeling techniques
- Quantum methodologies for fraud detection
Use Cases in Healthcare and Life Sciences
- Acceleration of drug discovery processes
- Workflows for molecular simulation
- Research in quantum-supported diagnostics
Use Cases in Manufacturing and Logistics
- Strategies for optimizing complex supply chains
- Simulation techniques for materials and processes
- Solutions for scheduling and resource allocation challenges
Running Quantum Experiments on Willow
- Constructing circuits within the interface
- Executing tasks and analyzing results
- Methods for benchmarking and refining experiments
Evaluating Quantum Readiness and Strategy
- Assessing organizational requirements for government operations
- Identifying potential quantum return on investment (ROI)
- Strategic planning for quantum technology adoption
Summary and Next Steps
Requirements
- An understanding of fundamental quantum computing concepts for government and private sector applications.
- Experience in computational problem-solving or technical analysis within a professional context.
- Familiarity with cloud-based research platforms that support advanced scientific inquiry.
Audience
- Government officials and business leaders
- Researchers in academic and government institutions
- Professionals exploring quantum technologies for government and industry use
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!
