King, A. D., Raymond, J., Lanting, T., Isakov, S. V., Mohseni, M., Poulin-Lamarre, G., . . . Amin, M. H. (2021). Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets. Nature Portfolio.
Style de citation Chicago (17e éd.)King, Andrew D., et al. Scaling Advantage over Path-integral Monte Carlo in Quantum Simulation of Geometrically Frustrated Magnets. Nature Portfolio, 2021.
Style de citation MLA (8e éd.)King, Andrew D., et al. Scaling Advantage over Path-integral Monte Carlo in Quantum Simulation of Geometrically Frustrated Magnets. Nature Portfolio, 2021.
Attention : ces citations peuvent ne pas être correctes à 100%.