QUBO Formulator
SkillDev toolsQUBO (Quadratic Unconstrained Binary Optimization) formulation skill for optimization problems
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the QUBO Formulator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/qubo-formulator/SKILL.md and read by ahel’s review.
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
- Problem Definition: Formalize optimization problem mathematically
- Binary Encoding: Convert variables to binary representation
- Constraint Handling: Add penalty terms for constraints
- QUBO Construction: Build quadratic matrix form
- Solution Interpretation: Decode binary solutions to original problem
Tools/Libraries
- D-Wave Ocean
- PyQUBO
- Qiskit Optimization
- dimod
- dwavebinarycsp
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
qubo-formulator- Source
- github.com/a5c-ai/babysitter