Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundations of Quantum Computing
- Essential quantum concepts for algorithm development
- Comprehending qubits, gates, and measurement
- The significance of quantum circuits in computation
Introduction to Google Willow
- Navigating the Willow workspace
- Utilizing simulators and quantum hardware
- Managing tasks and computational resources
Constructing Quantum Circuits
- Designing parameterized circuits
- Manipulating gates and operations
- Running basic circuits on Willow
Implementing Core Quantum Algorithms
- Building algorithms such as Grover’s and QFT
- Analyzing algorithm behavior on hardware
- Contrasting classical and quantum performance
Advanced Algorithm Design
- Developing problem-specific circuits
- Incorporating noise-mitigation techniques
- Scaling and refining circuit depth
Hybrid Quantum-Classical Workflows
- Orchestrating workflows with Python libraries
- Connecting classical code with Willow executions
- Creating reusable algorithmic components
Testing, Debugging, and Optimization
- Debugging circuits using simulator tools
- Profiling quantum algorithm performance
- Implementing optimization strategies
Deploying Quantum Algorithms
- Submitting tasks via the Willow interface
- Reviewing execution results
- Iterating on algorithm enhancements
Summary and Next Steps
Requirements
- A solid grasp of fundamental programming concepts
- Proficiency in Python or comparable languages
- Basic knowledge of quantum computing principles
Audience
- Developers
- AI researchers
- Data scientists working with emerging technologies
