Quantum Elements and USC today announced the publication of a new Quantum Monte Carlo algorithm in Physical Review Letters, ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

With diverse architectures and strong expressivity, neural-network quantum states (NQS) offer an alternative to traditional variational ansätze for simulating physical systems. Energy-based models ...

The Monte Carlo method is a type of algorithm that reveals a distribution by randomly sampling its elements again and again. For example, say there are 40 red marbles, 20 green marbles, 25 orange ...

Approaching problems with data-driven models often requires reliable uncertainty estimates. Bayesian neural networks can offer these for deep learning models. Without the knowledge to set informative ...