Quantum Monte Carlo

Quantum Monte Carlo (QMC) is a computational method used to study the behavior of quantum systems by using random sampling techniques. It simulates particles’ interactions and properties, like electrons in atoms or molecules, by generating many possible configurations and calculating their average properties. This approach helps scientists understand complex quantum phenomena more accurately than some other methods, especially for systems where exact solutions are difficult. QMC combines principles of probability with quantum physics to provide insights into materials, molecules, and condensed matter, making it a powerful tool in theoretical chemistry and physics.