Trending Research
Bosonic Qiskit
We introduce the Bosonic Qiskit software to enable the simulation of hybrid qubit/bosonic systems using the existing Qiskit software development kit.
Quantum Physics Emerging Technologies
pyerrors: a python framework for error analysis of Monte Carlo data
We present the pyerrors python package for statistical error analysis of Monte Carlo data.
High Energy Physics - Lattice Computational Physics Data Analysis, Statistics and Probability
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
lululxvi/deepxde
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Neural operators can learn nonlinear mappings between function spaces and offer a new simulation paradigm for real-time prediction of complex dynamics for realistic diverse applications as well as for system identification in science and engineering.
Computational Physics
Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations
Amorphous silicon (a-Si) is an important thermal-management material and also serves as an ideal playground for studying heat transport in strongly disordered materials.
Materials Science Computational Physics
Unified Graph Neural Network Force-field for the Periodic Table
usnistgov/alignn
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Classical force fields (FF) based on machine learning (ML) methods show great potential for large scale simulations of materials.
Materials Science
EinsteinPy: A Community Python Package for General Relativity
Python is a free, easy to use a high-level programming language which has seen a huge expansion in the number of its users and developers in recent years.
General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics 83-04
Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols
google-research/google-research
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The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.
Quantum Physics
Modified Shallow Water Equations for significantly varying seabeds
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
PyPSA: Python for Power System Analysis
In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations.
Physics and Society
Deep Learning the Functional Renormalization Group
We perform a data-driven dimensionality reduction of the scale-dependent 4-point vertex function characterizing the functional Renormalization Group (fRG) flow for the widely studied two-dimensional $t - t'$ Hubbard model on the square lattice.
Strongly Correlated Electrons Disordered Systems and Neural Networks
