Sharpening the dark matter signature in gravitational waveforms II: Numerical simulations with the NbodyIMRI code

bradkav/nbodyimri 21 Feb 2024

Future gravitational wave observatories can probe dark matter by detecting the dephasing in the waveform of binary black hole mergers induced by dark matter overdensities.

General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology

7
0.15 stars / hour

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

lululxvi/deepxde 10 Nov 2021

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

2,187
0.08 stars / hour

Forward-Mode Differentiation of Maxwell's Equations

twhughes/ceviche 28 Aug 2019

We present a previously unexplored forward-mode differentiation method for Maxwell's equations, with applications in the field of sensitivity analysis.

Optics Numerical Analysis Numerical Analysis Computational Physics

304
0.04 stars / hour

Optimal synthesis into fixed XX interactions

Qiskit/qiskit-terra 3 Nov 2021

We describe an optimal procedure, as well as its efficient software implementation, for exact and approximate synthesis of two-qubit unitary operations into any prescribed discrete family of XX-type interactions and local gates.

Quantum Physics Symplectic Geometry 81Q99, 53D45

4,357
0.04 stars / hour

Exact and practical pattern matching for quantum circuit optimization

Qiskit/qiskit-terra 11 Sep 2019

An important building block for many quantum circuit optimization techniques is pattern matching, where given a large and a small quantum circuit, we are interested in finding all maximal matches of the small circuit, called pattern, in the large circuit, considering pairwise commutation of quantum gates.

Quantum Physics Data Structures and Algorithms

4,354
0.04 stars / hour

A Hybrid Quantum-Classical CFD Methodology with Benchmark HHL Solutions

rolls-royce/qc-cfd 1 Jun 2022

A theme of this work is the classical processing time needed to prepare the quantum circuit with a focus on the decomposition of the CFD matrix into a linear combination of unitaries (LCU).

Quantum Physics

2
0.04 stars / hour

Sparse Blossom: correcting a million errors per core second with minimum-weight matching

oscarhiggott/PyMatching 28 Mar 2023

In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes.

Quantum Physics

145
0.03 stars / hour

A foundation model for atomistic materials chemistry

ACEsuit/mace 29 Dec 2023

Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales.

Chemical Physics

308
0.03 stars / hour

Promoting global stability in data-driven models of quadratic nonlinear dynamics

dynamicslab/pysindy 5 May 2021

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

1,218
0.03 stars / hour

Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations

mdil-snu/sevennet 6 Feb 2024

Message-passing graph neural network interatomic potentials (GNN-IPs), particularly those with equivariant representations such as NequIP, are attracting significant attention due to their data efficiency and high accuracy.

Materials Science

23
0.03 stars / hour