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Quantum-Enhanced Machine Learning – Preparing for the Next Computational Frontier
Dec 11, 2025
Workshops
Quantum computing is a transformative technology set to revolutionize AI performance. This technical workshop provides in-depth exploration of quantum and machine learning integration, equipping you with the precise tools and frameworks needed to lead in this cutting-edge field.
What You'll Learn
- Core quantum ML algorithms: quantum neural networks, support vector machines, and PCA
- Hybrid classical-quantum architectures for optimization, sampling, and feature extraction
- Implementation using Qiskit, PennyLane, Cirq, and quantum cloud platforms
- Strategies for transitioning classical ML workloads to quantum-ready pipelines
Key Takeaways
- Code Templates: Deploy quantum ML algorithms on today’s NISQ devices using ready-to-run examples
- Evaluation Framework: Identify ML problems best suited for quantum acceleration
- Migration Roadmap: Prepare your classical ML stack for quantum integration with benchmarking tools
Who Should Attend
- ML researchers and advanced practitioners
- Computational scientists and algorithm specialists
- Innovation leads exploring emerging technologies
- Technical teams working in:
- Drug Discovery & Materials Science
- Financial Modeling & Risk Analysis
- Complex Logistics & Supply Chain
- Advanced R&D Functions
Session Type
Workshop
Content Focus
Technical
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