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Found 25 papers, 7 papers with code
Training Neural Networks with Universal Adiabatic Quantum Computing
The training of neural networks (NNs) is a computationally intensive task requiring significant time and resources.
Generative Invertible Quantum Neural Networks
Invertible Neural Networks (INN) have become established tools for the simulation and generation of highly complex data.
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
This study investigates the possibility of learning and utilising a system's Hamiltonian and its variational thermal state estimation for data analysis techniques.
A Genetic Quantum Annealing Algorithm
However, the population of individuals is defined by the continuous couplings on the quantum annealer, which then give rise via quantum annealing to the set of corresponding phenotypes that represent attempted solutions.
Identifying magnetic antiskyrmions while they form with convolutional neural networks
We use a Convolutional Neural Network (CNN) to identify the relevant features in the thermodynamical phases of chiral magnets, including (anti-)skyrmions, bimerons, and helical and ferromagnetic states.
IRC-safe Graph Autoencoder for unsupervised anomaly detection
Anomaly detection through employing machine learning techniques has emerged as a novel powerful tool in the search for new physics beyond the Standard Model.
Qade: Solving Differential Equations on Quantum Annealers
We present a general method, called Qade, for solving differential equations using a quantum annealer.
Completely Quantum Neural Networks
Artificial neural networks are at the heart of modern deep learning algorithms.
A duality connecting neural network and cosmological dynamics
We demonstrate that the dynamics of neural networks trained with gradient descent and the dynamics of scalar fields in a flat, vacuum energy dominated Universe are structurally profoundly related.
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Tensor Networks (TN) are approximations of high-dimensional tensors designed to represent locally entangled quantum many-body systems efficiently.
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Tensor Networks are non-trivial representations of high-dimensional tensors, originally designed to describe quantum many-body systems.
Quantum Optimisation of Complex Systems with a Quantum Annealer
These properties include an Ising-like phase transition that can be induced by either a change in 'quantum-ness' of the theory, or by a scaling the Ising couplings up or down.
Elvet -- a neural network-based differential equation and variational problem solver
We present Elvet, a Python package for solving differential equations and variational problems using machine learning methods.
Extended Higgs sectors, effective field theory and Higgs phenomenology
We consider the phenomenological implications of charged scalar extensions of the SM Higgs sector in addition to EFT couplings of this new state to SM matter.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Exploring instantons with spin-lattice systems
Instanton processes are present in a variety of quantum field theories relevant to high energy as well as condensed matter physics.
High Energy Physics - Theory Mesoscale and Nanoscale Physics
The Emergence of Electroweak Skyrmions through Higgs Bosons
Skyrmions are extended field configurations, initially proposed to describe baryons as topological solitons in an effective field theory of mesons.
High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Theory
Classifying Standard Model Extensions Effectively with Precision Observables
Due to the complexity of the effective theory when taking all the Standard Model symmetries and degrees of freedoms into account, tensioning the entire system in a completely agnostic way against experimental measurements results in constraints on the Wilson Coefficients of the effective operators that either bears little information or challenge intrinsic assumptions imposed on the effective field theory framework.
High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Theory
Precision SMEFT bounds from the VBF Higgs at high transverse momentum
We study the production of Higgs bosons at high transverse momenta via vector-boson fusion (VBF) in the Standard Model Effective Field Theory (SMEFT).
High Energy Physics - Phenomenology High Energy Physics - Experiment
Searching for QCD Instantons at Hadron Colliders
QCD instantons are arguably the best motivated yet unobserved nonperturbative effects predicted by the Standard Model.
High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Theory
Power meets Precision to explore the Symmetric Higgs Portal
We perform a comprehensive study of collider aspects of a Higgs portal scenario that is protected by an unbroken ${\mathbb{Z}}_2$ symmetry.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions
Starting from the observation that artificial neural networks are uniquely suited to solving optimisation problems, and most physics problems can be cast as an optimisation task, we introduce a novel way of finding a numerical solution to wide classes of differential equations.
High Energy Physics - Phenomenology High Energy Physics - Theory
A facility to Search for Hidden Particles at the CERN SPS: the SHiP physics case
We demonstrate that the SHiP experiment has a unique potential to discover new physics and can directly probe a number of solutions of beyond the Standard Model puzzles, such as neutrino masses, baryon asymmetry of the Universe, dark matter, and inflation
High Energy Physics - Phenomenology High Energy Physics - Experiment
Off-Shell Higgs Coupling Measurements in BSM scenarios
Proposals of measuring the off-shell Higgs contributions and first measurements at the LHC have electrified the Higgs phenomenology community for two reasons: Firstly, probing interactions at high invariant masses and momentum transfers is intrinsically sensitive to new physics beyond the Standard Model, irrespective of a resonant or non-resonant character of a particular BSM scenario.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Limitations and Opportunities of Off-Shell Coupling Measurements
Indirect constraints on the total Higgs width $\Gamma_h$ from correlating Higgs signal strengths with cross section measurements in the off-shell region for $p(g)p(g)\to 4\ell$ production have received considerable attention recently, and the CMS collaboration have published a first measurement.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Stop Reconstruction with Tagged Tops
Using a Standard-Model top tagger on fully hadronic top decays we can not only extract the stop signal but also measure the top momentum.
High Energy Physics - Phenomenology High Energy Physics - Experiment
