Get in Touch
 Duration 21 hours

Course Outline

Foundations of Quantum-AI Integration

  • Motivations for hybrid quantum-classical intelligence
  • Identifying key opportunities and addressing current technological hurdles
  • Contextualizing Google Willow within the broader quantum-AI ecosystem

Google Willow Architecture and Features

  • Overview of the system and toolchain architecture
  • Review of supported quantum operations and feature sets
  • APIs designed for advanced experimentation

Hybrid Quantum-Classical Models

  • Strategies for partitioning tasks between quantum and classical components
  • Data encoding methods for quantum-enhanced learning
  • Workflows for state preparation and measurement

Quantum Machine Learning Algorithms

  • Variational quantum circuits applied to AI tasks
  • Utilizing quantum kernels and feature maps
  • Optimization loops tailored for hybrid models

Constructing 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 noise-aware AI models
  • Managing compute constraints within hybrid systems
  • Benchmarking quantum-AI performance metrics

Applications and Emerging Use Cases

  • Quantum-enhanced data analysis techniques
  • AI-driven optimization leveraging quantum acceleration
  • Potential for cross-industry adoption

Future Trends in Quantum-AI Convergence

  • Roadmaps for scalable, large-scale quantum-AI systems
  • Advances in architecture and hardware evolution
  • Research directions defining the quantum-AI frontier

Summary and Future Directions

Requirements

  • A solid grasp of fundamental quantum computing principles
  • Hands-on experience with machine learning frameworks
  • Knowledge of hybrid quantum-classical workflows

Target Audience

  • AI Engineers
  • Machine Learning Specialists
  • Quantum Computing Researchers

Number of participants


Price per participant

Upcoming Courses

Related Categories