arXiv (All)
open access
QuantumQUBO Agent: Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language
Quadratic Unconstrained Binary Optimization (QUBO) is a central formulation for combinatorial optimization and has gained increasing attention due to its compatibility with quantum, hybrid quantum-classical, and quantum-inspired solvers. However, translating natural-language problem descriptions int
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization#1156210
- QC-CCG: Quantum-Classical Algorithm for Two-stage Adaptive Robust Optimization#1071023
- Quantum-Enhanced Multi-Objective Optimization#821956
- Solving Graph Coloring Problems Using Feedback-Based Algorithm for Quantum Optimization#1105550
- Characterizing QUBO Reformulations of the Max-k-Cut Problem for Quantum Computing#999686
Record · ID 999905
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive