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Duration 21 hours
Course Outline
Introduction to Quantum-AI Integration
- The rationale behind hybrid quantum-classical intelligence.
- Key opportunities and existing technological hurdles.
- The position of Google Willow in the broader quantum-AI ecosystem.
Google Willow Architecture and Capabilities
- System overview and toolchain configuration.
- Supported quantum operations and functional features.
- APIs designed for advanced experimentation.
Hybrid Quantum-Classical Models
- Strategies for distributing tasks between quantum and classical components.
- Data encoding methods for quantum-enhanced learning.
- Workflows for state preparation and measurement.
Quantum Machine Learning Algorithms
- Application of variational quantum circuits to AI tasks.
- Utilizing quantum kernels and feature maps.
- Optimization cycles for hybrid models.
Building Quantum-AI Pipelines with Willow
- End-to-end development of hybrid models.
- Integrating Willow with TensorFlow Quantum.
- Testing and validating quantum-AI prototypes.
Performance Optimization and Resource Management
- Developing AI models with noise-awareness.
- Handling compute limitations in hybrid systems.
- Benchmarking the performance of quantum-AI solutions.
Applications and Emerging Use Cases
- Quantum-enhanced data analytics.
- AI-driven optimization accelerated by quantum computing.
- Adoption potential across various industries.
Future Trends in Quantum-AI Convergence
- Roadmaps for large-scale quantum-AI systems.
- Architectural innovations and hardware evolution.
- Research directions defining the future of quantum-AI.
Summary and Next Steps
Requirements
- A solid grasp of fundamental quantum computing principles.
- Practical experience with machine learning frameworks.
- Knowledge of hybrid quantum-classical workflows.
Target Audience
- AI engineers.
- Machine learning specialists.
- Quantum computing researchers.