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Qubo formulator

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/qubo-formulator

QUBO (Quadratic Unconstrained Binary Optimization) formulation skill for optimization problemsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill qubo-formulator

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SKILL.md

1.5 KB, 198 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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