Course Outline
Introduction to Google Willow
- Comprehending Willow’s architecture and capabilities
- Navigating the quantum workspace
- Accessing hardware and simulators
Quantum Fundamentals for Practical Applications
- Core principles of quantum algorithms
- Superposition, entanglement, and interference
- Essentials of quantum circuit design
Quantum Algorithms for Industry
- Overview of frequently used algorithms
- Understanding algorithm performance
- Choosing algorithms for practical applications
Applications in Finance
- Portfolio optimization scenarios
- Enhancements in risk modelling
- Quantum approaches to fraud detection
Applications in Healthcare and Life Sciences
- Accelerating drug discovery
- Molecular simulation workflows
- Quantum-supported diagnostics research
Applications in Manufacturing and Logistics
- Optimizing complex supply chains
- Simulation of materials and processes
- Addressing scheduling and resource allocation challenges
Conducting Quantum Experiments on Willow
- Building circuits within the interface
- Executing tasks and reviewing results
- Benchmarking and refining experiments
Evaluating Quantum Readiness and Strategy
- Assessing organizational needs
- Identifying potential quantum ROI
- Planning next steps for adoption
Summary and Next Steps
Requirements
- A grasp of foundational quantum computing concepts
- Experience in computational problem-solving or technical analysis
- Familiarity with cloud-based research platforms
Target Audience
- Business leaders
- Researchers
- Professionals investigating quantum 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!
