A new technique allows complex interactions in materials to be simulated using Monte Carlo simulations thousands of times ...

Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems.

Since positrons are difficult to treat with standard computational techniques, Reyes and their colleagues used the highly ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

A view of the honeycomb lattice, with a triangular region indicated with the black sites (spheres). The electrons in the model studied by the researchers can jump between sites of this lattice, and ...

FRIB researchers are part of an international research team solving challenging computational problems in quantum physics using a new method called wavefunction matching. The new approach has ...

Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...