Can preparing complex quantum states always demand exponentially increasing computational resources? A new technique called ‘nucleation’ demonstrably improves upon existing methods for building these states on digital quantum computers, specifically, for simulating a two-dimensional magnetic system. This approach begins with a simple solvable lattice and incrementally grows it, potentially easing resource demands for future algorithms.
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