Guardado en:
| Autores principales: | Rousselot, Armand, Spannowsky, Michael |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2302.12906 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
por: Ngairangbam, Vishal S., et al.
Publicado: (2026)
por: Ngairangbam, Vishal S., et al.
Publicado: (2026)
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach
por: Gurkanli, Emre, et al.
Publicado: (2026)
por: Gurkanli, Emre, et al.
Publicado: (2026)
QINNs: Quantum-Informed Neural Networks
por: Bal, Aritra, et al.
Publicado: (2025)
por: Bal, Aritra, et al.
Publicado: (2025)
Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States
por: Ngairangbam, Vishal S., et al.
Publicado: (2025)
por: Ngairangbam, Vishal S., et al.
Publicado: (2025)
Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory
por: Abel, Steven, et al.
Publicado: (2025)
por: Abel, Steven, et al.
Publicado: (2025)
Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics
por: Araz, Jack Y., et al.
Publicado: (2025)
por: Araz, Jack Y., et al.
Publicado: (2025)
Lie-Equivariant Quantum Graph Neural Networks
por: Neto, Jogi Suda, et al.
Publicado: (2024)
por: Neto, Jogi Suda, et al.
Publicado: (2024)
Jet Discrimination with Quantum Complete Graph Neural Network
por: Chen, Yi-An, et al.
Publicado: (2024)
por: Chen, Yi-An, et al.
Publicado: (2024)
$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
por: Dong, Zhongtian, et al.
Publicado: (2023)
por: Dong, Zhongtian, et al.
Publicado: (2023)
Real-Time Scattering Processes with Continuous-Variable Quantum Computers
por: Abel, Steven, et al.
Publicado: (2025)
por: Abel, Steven, et al.
Publicado: (2025)
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
por: Forestano, Roy T., et al.
Publicado: (2023)
por: Forestano, Roy T., et al.
Publicado: (2023)
Uncertainty Quantification From Scaling Laws in Deep Neural Networks
por: Elsharkawy, Ibrahim, et al.
Publicado: (2025)
por: Elsharkawy, Ibrahim, et al.
Publicado: (2025)
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions
por: Lu, Ian, et al.
Publicado: (2024)
por: Lu, Ian, et al.
Publicado: (2024)
Three-body Entanglement in Particle Decays
por: Sakurai, Kazuki, et al.
Publicado: (2023)
por: Sakurai, Kazuki, et al.
Publicado: (2023)
From Information Geometry to Jet Substructure: A Triality of Cumulant Tensors, Energy Correlators, and Hypergraphs
por: Bal, Aritra, et al.
Publicado: (2026)
por: Bal, Aritra, et al.
Publicado: (2026)
Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction
por: Konar, Partha, et al.
Publicado: (2025)
por: Konar, Partha, et al.
Publicado: (2025)
Enhancing anomaly detection with topology-aware autoencoders
por: Ngairangbam, Vishal S., et al.
Publicado: (2025)
por: Ngairangbam, Vishal S., et al.
Publicado: (2025)
Fine-Tuning Small Reasoning Models for Quantum Field Theory
por: Woodward, Nathaniel S., et al.
Publicado: (2026)
por: Woodward, Nathaniel S., et al.
Publicado: (2026)
Quantum Pathways for Charged Track Finding in High-Energy Collisions
por: Brown, Christopher, et al.
Publicado: (2023)
por: Brown, Christopher, et al.
Publicado: (2023)
Simulating quantum field theories on continuous-variable quantum computers
por: Abel, Steven, et al.
Publicado: (2024)
por: Abel, Steven, et al.
Publicado: (2024)
Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
por: Maier, Benedikt, et al.
Publicado: (2025)
por: Maier, Benedikt, et al.
Publicado: (2025)
Guided Graph Compression for Quantum Graph Neural Networks
por: Casals, Mikel, et al.
Publicado: (2025)
por: Casals, Mikel, et al.
Publicado: (2025)
Quantum Qualifiers for Neural Network Model Selection in Hadronic Physics
por: Le, Brandon B., et al.
Publicado: (2026)
por: Le, Brandon B., et al.
Publicado: (2026)
Real-Time Scattering on Quantum Computers via Hamiltonian Truncation
por: Ingoldby, James, et al.
Publicado: (2025)
por: Ingoldby, James, et al.
Publicado: (2025)
Quantum Diffusion Model for Quark and Gluon Jet Generation
por: Baidachna, Mariia, et al.
Publicado: (2024)
por: Baidachna, Mariia, et al.
Publicado: (2024)
Compton Form Factor Extraction using Quantum Deep Neural Networks
por: Le, Brandon B., et al.
Publicado: (2025)
por: Le, Brandon B., et al.
Publicado: (2025)
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
por: Bieringer, Sebastian, et al.
Publicado: (2024)
por: Bieringer, Sebastian, et al.
Publicado: (2024)
1 Particle - 1 Qubit: Particle Physics Data Encoding for Quantum Machine Learning
por: Bal, Aritra, et al.
Publicado: (2025)
por: Bal, Aritra, et al.
Publicado: (2025)
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
por: Shmakov, Alexander, et al.
Publicado: (2024)
por: Shmakov, Alexander, et al.
Publicado: (2024)
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
por: Maître, Daniel, et al.
Publicado: (2024)
por: Maître, Daniel, et al.
Publicado: (2024)
Three-Body Non-Locality in Particle Decays
por: Horodecki, Paweł, et al.
Publicado: (2025)
por: Horodecki, Paweł, et al.
Publicado: (2025)
Scalable Quantum State Preparation via Large-Language-Model-Driven Discovery
por: Cao, Qing-Hong, et al.
Publicado: (2025)
por: Cao, Qing-Hong, et al.
Publicado: (2025)
High-dimensional and Permutation Invariant Anomaly Detection
por: Mikuni, Vinicius, et al.
Publicado: (2023)
por: Mikuni, Vinicius, et al.
Publicado: (2023)
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction
por: Faroughy, Darius A., et al.
Publicado: (2026)
por: Faroughy, Darius A., et al.
Publicado: (2026)
Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
por: Frohnert, Felix, et al.
Publicado: (2025)
por: Frohnert, Felix, et al.
Publicado: (2025)
Improving Neutrino Oscillation Measurements through Event Classification
por: Ellis, Sebastian A. R., et al.
Publicado: (2025)
por: Ellis, Sebastian A. R., et al.
Publicado: (2025)
Uncovering Singularities in Feynman Integrals via Machine Learning
por: Liu, Yuanche, et al.
Publicado: (2025)
por: Liu, Yuanche, et al.
Publicado: (2025)
Quantum Attention for Vision Transformers in High Energy Physics
por: Tesi, Alessandro, et al.
Publicado: (2024)
por: Tesi, Alessandro, et al.
Publicado: (2024)
An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
por: Backes, Mathias, et al.
Publicado: (2022)
por: Backes, Mathias, et al.
Publicado: (2022)
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation
por: Hashemi, Baran
Publicado: (2024)
por: Hashemi, Baran
Publicado: (2024)
Ejemplares similares
-
From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
por: Ngairangbam, Vishal S., et al.
Publicado: (2026) -
Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach
por: Gurkanli, Emre, et al.
Publicado: (2026) -
QINNs: Quantum-Informed Neural Networks
por: Bal, Aritra, et al.
Publicado: (2025) -
Improved Ground State Estimation in Quantum Field Theories via Normalising Flow-Assisted Neural Quantum States
por: Ngairangbam, Vishal S., et al.
Publicado: (2025) -
Qumode Tensor Networks for False Vacuum Decay in Quantum Field Theory
por: Abel, Steven, et al.
Publicado: (2025)