 Gaussian quantum Monte Carlo

Gaussian Quantum Monte Carlo (GQMC) is a computational technique used to perform quantum simulations, particularly of many-body quantum systems. It blends principles from quantum mechanics and Monte Carlo methods, with a focus on leveraging Gaussian states and distributions to simplify calculations or enhance efficiency. ### Key Aspects of Gaussian Quantum Monte Carlo: 1. **Quantum States**: GQMC typically works within the framework of Gaussian states, which are quantum states characterized by their first and second moments (mean and covariance).