Russian Scientists demonstrated that quantum annealing can solve a small robotics inverse-kinematics problem as a proof of concept.

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Researchers from Russian institutions demonstrated quantum annealing can solve inverse kinematics problems for robotics by reformulating them as binary optimization (QUBO) and running them on D-Wave hardware. Using Zephyr topology and hybrid quantum-classical solvers, they achieved up to 30× faster results on large instances compared to purely classical approaches. While this proof of concept doesn't outperform advanced classical solvers, it shows current quantum hardware can address simplified robotic motion planning with measurable accuracy and speed.

Russian Scientists Show a Proof of Concept For Using Quantum Annealers to Solve Robot Motion Problems