Quantum Monte Carlo is a set of computational methods used to solve quantum many-body problems by employing stochastic sampling techniques to estimate properties of quantum systems. It connects statistical mechanics and quantum mechanics, allowing for the exploration of complex interactions in systems like the Heisenberg model, which deals with magnetic interactions between spins.
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