Numerical weather prediction has traditionally been based on physical models of the atmosphere.

Atmospheric and Oceanic Physics

Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices.

Quantum Physics Strongly Correlated Electrons

Second, we illustrate how to modify the objective function in machine learning algorithms to promote globally stable models, with implications for the modeling of fluid and plasma flows.

Fluid Dynamics Computational Physics Plasma Physics

We investigate how the speed of gravitational waves, $c_{GW}$, can be tested by upcoming black hole ringdown observations.

General Relativity and Quantum Cosmology

Given the generality of this mechanism, we suggest that STs could be used to engineer other exotic polar textures in a variety of FE nanostructures as supported by the appearance of ST-induced polar cycloidal modulations in this letter.

Materials Science Computational Physics

The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.

Quantum Physics

Here we present a feature-rich CPM implementation, called ELECTRODE, for the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS), which includes a constrained charge method and a thermo-potentiostat.

Chemical Physics Computational Physics

The novel system is a non-dispersive non-hydrostatic extension of the classical Saint-Venant equations.

Classical Physics Analysis of PDEs Numerical Analysis Computational Physics Fluid Dynamics

The present work proposes a new data-driven strategy which conserves the symmetries in a cost-effective way and delivers consistent results over a wide range of grids.

Fluid Dynamics Computational Physics

Bias-tailoring allows quantum error correction codes to exploit qubit noise asymmetry.

Quantum Physics