QUBO formulation for organizational conflict optimization — anyone explored this?

Hello from Germany.

I'm a management consultant and conflict resolution specialist researching quantum optimization for organizational systems.

My hypothesis: conflict resolution is fundamentally a combinatorial optimization problem. Given n conflict parties, m competing interests, and k interdependent intervention options, the solution space grows exponentially — making exact classical optimization infeasible beyond a certain organizational complexity.

I'm developing PAKIES Intelligence Platform, which uses neuropsychological markers (pronoun shift, absolutism scores, Gottman escalation predictors) to predict conflict escalation via ML. The next research step: evaluating whether quantum annealing via QUBO formulation can optimize intervention strategies more effectively than classical heuristics.

Two concrete questions for the community:

1. Has anyone explored QUBO formulations for social or organizational optimization problems — particularly where variables represent intervention choices and constraints represent party relationships?

2. Are there existing notebooks or papers on applying D-Wave annealing to multi-stakeholder decision problems?

Currently registered on Leap — happy to share the QUBO formulation I'm working on once drafted.

Marcel Pakies
Founder, MARCEL PAKIES Management & Business Consulting
Germany