Experimental Solver Support — PyQBPP only

The experimental solver integrations for Fixstars Amplify, D-Wave Advantage / Leap Hybrid, and OpenJij are available only from PyQBPP (Python). They are not exposed from the C++ QUBO++ library.

Each backend (Amplify SDK, D-Wave Ocean SDK, OpenJij) is distributed only as a Python package, so PyQBPP forwards models to them directly through Python; there is no C++ entry point.

→ See the PyQBPP documentation: Experimental Solver Support (Amplify, D-Wave, OpenJij)

Solvers available from C++

The following built-in solvers are available from both C++ and PyQBPP:

• Easy Solver — heuristic, multicore CPU
• Exhaustive Solver — complete search (CPU + GPU)
• ABS3 Solver — high-performance heuristic (CPU + GPU)
• Gurobi Optimizer — exact solver via Gurobi (license required)