< Summer program >
WISER Quantum and AI Program 2026
Optimization is everywhere. Every time a system needs to find the best solution among an astronomical number of possibilities - in drug discovery, energy grids, financial markets, materials design, machine learning, or quantum hardware itself - it's an optimization problem. The question is not whether optimization applies. It's which tools are powerful enough to solve it. This summer program is your answer. The WISER Quantum + AI Optimization Program 2026 brings three computing methods: classical algorithms, quantum computing, and artificial intelligence, into a single program for tackling the world's hardest optimization challenges. You'll learn how they compare to each other, limits of each one, and how combining them unlocks solutions that none could reach alone. Six weeks of live, hands-on training. Learn from the best.
Are you a student or a scholar? You can attend for FREE if accepted. Apply today!
Are you an executive who wants to understand Optimization techniques with using new AI models and quantum algorithms? Skip the more intensive workshops and select the Executive Option. Register Today!
Are you an industry professional, researcher, speaker or Elevate Quantum Region member? Register today!
You're an AI and Quantum Pro and want to work on exciting Industry Research Challenges? Skip the training and get signed up for project teams only.
Register today!
.png)
Participants will Explore:
How each approach contributes unique strengths to solving complex optimization challenges: the scalability of classical HPC systems, the emerging potential of quantum hardware for certain problem structures, and the adaptive learning capabilities of AI. The curriculum moves from foundational theory to production-grade tools, with hands-on experience building hybrid workflows.
< curriculum >
Program Agenda
With WISER’s Solutions Launchpad, you don’t have to wait years for university partnerships or academic approvals to take shape. We move fast - helping you scope your problem, define the work plan, and begin research in as little as three months.
Week 1
June 8 -12
10:00am-12:00pm
Combinatorial Optimization
Overview of classical methods (linear programming, branch and bound), QUBO formulation, and learning heuristics.
Week 2
June 15-19
10:00am-12:00pm
Industry Applications
A look at industry applications and a numerical optimization bootcamp.
Week 3
June 22-26
10:00am-12:00pm
Constrained Optimization
Classical approaches (SDP, ADMM, KKT), handling constraints in QAOA, and quantum SDP solvers.
Week 4
June 22-26
10:00am-12:00pm
Panel Discussions
Focus on industry applications and panel discussions with experts.
Week 5
June 29 - July 3
10:00am-12:00pm
Stochastic Optimization
Bayesian optimization, sampling approaches in quantum, stochastic QAOA, and portfolio optimization.
Week 6
July 6-10
10:00am-12:00pm
Large-Scale Optimization
Bridging AI/Quantum/HPC, circuit optimization (ZX calculus), and software implementation pipelines.
Week 7-9
July 20 - August 21
Projects & Hackathon
Apply your knowledge to real-world challenges in our capstone project phase.
