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Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter systems. One important task is the simulation of geometrically frustrated magnets in which topological phenomena can emer...
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