quantum optimization

6 courses · 1 tutorial

Courses

  • QUANTUM ALGORITHM DESIGN

    Classiq Quantum Computing Tutorials

    Classiq engineering and research team

    Classiq's free library of hands-on quantum computing tutorials covering algorithm design, quantum machine learning, and optimization using the high-level Qmod language. No circuit assembly required.

    Self-paced intermediate

  • D-Wave

    Getting Started with Applied Quantum Optimization

    Learn to identify and describe optimization problems suited for D-Wave's quantum-classical hybrid technology. Covers problem discovery, constraint definition, and building a quantum business case. No math or physics background required.

    5 hours beginner

  • D-Wave

    Quantum Programming Core (D-Wave)

    D-Wave's flagship developer training: 35 hours of hands-on instruction covering QUBO formulation, Ising models, Ocean SDK, hybrid solvers, and real-world portfolio optimization. Includes virtual office hours with D-Wave experts. Multiple 2026 sessions available.

    35 hours intermediate

  • D-Wave

    Quantum Quick Start (D-Wave)

    D-Wave's bundle combining Quantum Programming Core with one additional month of unlimited Leap Quantum Cloud access. 35 hours of developer training plus hands-on QPU access for first-time Leap users. Approximately 6 weeks total.

    6 weeks intermediate

  • edX

    Applied Quantum Computing I: Fundamentals (Purdue)

    Purdue University / Pramey Upadhyaya

    The first course in Purdue University's Applied Quantum Computing series. Teaches the postulates of quantum mechanics and how they map onto present-day quantum information processing models including computation, simulation, optimization, and machine learning.

    5 weeks · 7-8 hours/week intermediate

  • IBM Quantum

    Quantum Optimization with IBM Quantum (openHPI)

    Julien Gacon, Dr. Daniel J. Egger, Dr. Stefan Woerner, Lucia Cuervo Valor (IBM Quantum)

    Free openHPI course on quantum approaches to combinatorial optimization, developed with IBM Quantum. Covers QAOA, VQE, and the quadratic unconstrained binary optimization (QUBO) framework with Qiskit implementation.

    2 weeks, 3 to 5 hours per week advanced

Free Tutorials