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Variational Monte Carlo

Variational Monte Carlo (VMC) is a computational method in quantum physics based on the variational principle. It optimizes wave function parameters using random sampling techniques to obtain approximate values of the ground state energy and properties of a system. This method is efficient and flexible when dealing with many-body quantum systems and can be applied to areas such as solid-state physics, molecular structure, and quantum chemistry, providing accurate numerical results and theoretical predictions.

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Variational Monte Carlo | SOTA | HyperAI