QUBO Formulator

Purpose

Provides expert guidance on formulating optimization problems as QUBO/Ising models for execution on quantum annealers and variational algorithms.

Capabilities

• Problem encoding to QUBO/Ising
• Constraint handling (penalty methods)
• Variable reduction techniques
• D-Wave integration
• QAOA cost Hamiltonian construction
• Solution decoding
• Embedding optimization
• Penalty weight tuning

Usage Guidelines

1. Problem Definition: Formalize optimization problem mathematically
2. Binary Encoding: Convert variables to binary representation
3. Constraint Handling: Add penalty terms for constraints
4. QUBO Construction: Build quadratic matrix form
5. Solution Interpretation: Decode binary solutions to original problem

Tools/Libraries

• D-Wave Ocean
• PyQUBO
• Qiskit Optimization
• dimod
• dwavebinarycsp