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.