Master the fusion of artificial intelligence and quantum mechanics to solve tomorrow's computational challenges.
6 Weeks
Advanced
Online + Lab Access
This program builds bridges between quantum mechanics and machine learning. Students will master tensor networks for neural modeling, quantum annealing algorithms, and hybrid AI systems that outperform classical approaches in optimization tasks. Through hands-on quantum simulations and prototype development, you'll gain production-ready skills in quantum machine learning.
1-hour interactive quantum computing labs with industry experts
Build a functional quantum machine learning model for a real-world optimization problem
Quantum computing fundamentals and AI architecture integration. Understanding qubit-based neural networks and variational quantum eigensolver (VQE) applications.
Master quantum annealing with D-Wave QPUs and develop AI-driven solutions for combinatorial optimization problems in logistics and finance.
Design and implement quantum-classical hybrid architectures for AI problems that require both quantum advantage and classical post-processing.
Build a complete quantum AI solution in collaboration with research institutions and industry mentors for real-world deployment.
Connect with leading quantum AI labs for potential internships and publication co-author opportunities.
Access our quantum computing career portal with curated job listings and alumni networking opportunities.