A Unified Approach to Binary Quadratic Model Solving plus AI Expansion
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Binary Quadratic Models (BQMs) are a powerful tool for complex combinatorial optimization across various fields. However, the landscape of BQM solvers is fragmented, with diverse algorithms and interfaces hindering experimentation and integration. A new framework aims to unify this experience by providing a consistent and intuitive central hub for interacting with classical and quantum-inspired BQM solvers. This innovative approach offers a common interface, simplifying algorithm implementation and utilization through a user-friendly command-line interface and robust input/output system. This unification accelerates research, streamlines workflows for businesses, and unlocks the full potential of BQM solving technologies.