Neuromorphic Ising machine implemented on an FPGA board rapidly explores rugged energy landscapes with exponentially many competing possibilities, enabling fast discovery of near-optimal solutions for complex optimisation problems such as protein folding, where the search evolves from an unfolded chain through intermediate molten-globule states toward the most stable folded structure.
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