Trending Research
Dendrite suppression of metal electrodeposition with liquid crystalline electrolytes
We study the dynamics of electrodeposition of a metal in contact with a liquid crystalline electrolyte.
Applied Physics Chemical Physics
TopologicalNumbers.jl: A Julia package for topological number computation
Our project, TopologicalNumbers. jl, aims to provide a package that can easily and efficiently compute topological numbers comprehensively in various dimensions and symmetry classes.
Mesoscale and Nanoscale Physics Materials Science
OmniLearn: A Method to Simultaneously Facilitate All Jet Physics Tasks
We show that specially constructed machine learning models trained for a specific jet classification task can improve the accuracy, precision, or speed of all other jet physics tasks.
High Energy Physics - Phenomenology High Energy Physics - Experiment
QOSST: A Highly-Modular Open Source Platform for Experimental Continuous-Variable Quantum Key Distribution
Quantum Key Distribution (QKD) enables secret key exchange between two remote parties with information-theoretic security rooted in the laws of quantum physics.
Quantum Physics
Neural integration for constitutive equations using small data
Data-driven models based on deep learning algorithms intend to overcome the limitations of traditional constitutive modelling by directly learning from data.
Materials Science Computational Physics
The D-Mercator method for the multidimensional hyperbolic embedding of real networks
One of the pillars of the geometric approach to networks has been the development of model-based mapping tools that embed real networks in its latent geometry.
Physics and Society
Fast MRI Reconstruction Using Deep Learning-based Compressed Sensing: A Systematic Review
Magnetic resonance imaging (MRI) has revolutionized medical imaging, providing a non-invasive and highly detailed look into the human body.
Medical Physics
Symbolic Execution for Quantum Error Correction Programs
We define QSE, a symbolic execution framework for quantum programs by integrating symbolic variables into quantum states and the outcomes of quantum measurements.
Quantum Physics Programming Languages
Fast and Accurate Algorithm for Calculating Long-Baseline Neutrino Oscillation Probabilities with Matter Effects: NuFast
Neutrino oscillation experiments will be entering the precision era in the next decade with the advent of high statistics experiments like DUNE, HK, and JUNO.
High Energy Physics - Phenomenology High Energy Physics - Experiment
cuTN-QSVM: cuTensorNet-accelerated Quantum Support Vector Machine with cuQuantum SDK
This paper investigates the application of Quantum Support Vector Machines (QSVMs) with an emphasis on the computational advancements enabled by NVIDIA's cuQuantum SDK, especially leveraging the cuTensorNet library.
Quantum Physics Distributed, Parallel, and Cluster Computing Software Engineering
