qubo-formulator

# 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