Solving the Rubik's Cube Optimally is NP-complete

Erik D. Demaine, Sarah Eisenstat, Mikhail Rudoy

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2017 · 15 citations · 3 references

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Abstract

In this paper, we prove that optimally solving an $n \times n \times n$ Rubik's Cube is NP-complete by reducing from the Hamiltonian Cycle problem in square grid graphs. This improves the previous result that optimally solving an $n \times n \times n$ Rubik's Cube with missing stickers is NP-complete. We prove this result first for the simpler case of the Rubik's Square---an $n \times n \times 1$ generalization of the Rubik's Cube---and then proceed with a similar but more complicated proof for the Rubik's Cube case.

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