Quantum Training Programs for Data Science & Innovation Teams

Empower your org to evaluate, adopt, and implement quantum and hybrid approaches—no physics degree required. 

Accelerate Quantum Understanding Across Your Team 

Our hands-on training programs demystify quantum computing, quantum-inspired methods, and hybrid approaches—delivered in a business-relevant way for data science and innovation leaders. We tailor each session to your team's background and focus areas. 

TRAINING HIGHLIGHTS:

  • Fundamentals of quantum computing for data scientists 

  • Hybrid quantum-classical algorithm walkthroughs 

  • Real-world case studies in pharma, biotech, medtech 

  • Tools to evaluate when quantum makes sense 

  • Frameworks to identify proof-of-concept opportunities 

IDEAL FOR:

  • ML teams transitioning from classical to quantum methods 

  • Innovation & R&D groups in healthcare and life sciences 

  • Strategy teams evaluating quantum adoption 

  • Accelerators & venture studios supporting deep tech startups 

Built for Real-World Impact

Our programs aren’t just theoretical. We focus on practical outcomes: how to make smarter decisions, build internal alignment, and move toward proof-of-concept pilots with confidence. 

Empower Your Team with Cutting-Edge Quantum ML Training

QUANTUM ML

1 day (4 hours)

Understand common QML algorithms and their near-term advantages within real-world use cases.

Gain quantum intuition: Learn the fundamental concepts of quantum algorithms.

Gain QML literacy: Understand common quantum machine learning algorithms and how they can provide short-term advantages, including:

  • Quantum neural networks

  • Kernel methods

  • Generative models

  • Quantum reservoir computing

QUANTUM OPTIMIZATION

1 day (4 hours)

Learn popular quantum optimizations algorithms and their near-term advantages within real-world use cases.

Gain quantum intuition: Learn the fundamental concepts of quantum algorithms.

Gain quantum optimization literacy: Understand common quantum optimization algorithms and how they can provide short-term advantages, including:

  • Quantum annealing

  • Variational algorithms and QAOA

  • Hybrid quantum-classical solvers

  • Tensor-network optimization

QUANTUM ML + OPTIMIZATION

3 days (12 hours)

Understand both common QML and quantum optimization algorithms and learn to identify use cases.

Gain quantum intuition: Learn the fundamental concepts of quantum algorithms.

Gain QML & quantum optimization literacy: Understand common quantum machine learning and quantum optimization algorithms and how they can provide short-term advantages.

Identify quantum use cases: Participate in an innovation lab where participants learn to identify quantum computing use cases.

Develop a project that combines quantum machine learning and optimization.

*All programs include free licenses to our premium QML courses for all participants.

Tailor Your Curriculum: Combine Modules, Projects & Exercises

Build a custom curriculum with any combination our learning modules, projects, exercises, and applications.