Saddles-to-minima topological crossover and glassiness in the Rubik's Cube

Slow relaxation and glassiness have been the focus of extensive research attention, along with popular and technological interest, for many decades. However, a complete framework about the origins and existence of a glass transition is yet to be achieved. Here we present our work on a discrete model glass-former, inspired by the famous Rubik's Cube, where these questions can be answered with surprising depth. By introducing a swap-move Monte Carlo algorithm, we are able to access thermal equilibrium states above and below the temperature of dynamical arrest. Exploiting the discreteness of the model, we can directly probe the energy-resolved connectivity structure of the model, and we uncover a saddles-to-minima topological crossover underpinning the slowing down and eventual arrest of the dynamics. We demonstrate that the smooth behaviour in finite-size systems tends asymptotically to a sharp step-change in the thermodynamic limit, identifying a well-defined energy threshold where the onset of stretched exponential behaviour and the dynamical arrest come to coincide. Our results allow us to shed light on the origin of the glassy behaviour, and how this is resolved by changing connectivity upon introducing swap-moves.