Reading series

Optimizer for QUBO

From formulation to structure, search, objective checks and fair baselines: classical QUBO optimization, step by step.

Start with chapter one

For developers

  1. QUBO Explained: A Small Model with Big Possibilities
  2. QUBO and Ising Models: Two Ways to Write the Same Choices
  3. QUBO Penalty Weights: A Practical Walkthrough
  4. Getting Started with QUBO in Python
  5. A million variables may be easier than a thousand
  6. Quantum-inspired optimization without a quantum computer

Chapters, in reading order

  1. 01

    QUBO Explained: A Small Model with Big Possibilities

    Binary decisions and pairwise interactions can be surprisingly expressive. They are also easy to misunderstand.

  2. 02

    QUBO and Ising Models: Two Ways to Write the Same Choices

    Binary decisions can be written as zeros and ones, or as spins with two possible signs.

  3. 03

    QUBO Penalty Weights: A Practical Walkthrough

    A binary optimization model can reward a forbidden decision unless its penalties represent the constraint strongly enough.

  4. 04

    Getting Started with QUBO in Python

    A QUBO is a quadratic function of binary variables, and its simplest examples can be solved without quantum hardware or a specialist library.

  5. 05

    A million variables may be easier than a thousand

    Problem size matters. So do structure, connectivity and the relationships between decisions.

  6. 06

    Quantum-inspired optimization without a quantum computer

    The mathematics of spins, energy and physical dynamics is helping invent new classical algorithms. What makes them useful is what they solve.

Where this series leads

Optimizer for QUBOAll articles and guides