Characterization and upgrade of a quantum graph neural network for charged particle tracking
Fuente:
arXiv
Saved in:
| Main Authors: | Argenton, Matteo, Cappelli, Laura, Bozzi, Concezio |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
by: Bardhan, Jai, et al.
Published: (2025)
by: Bardhan, Jai, et al.
Published: (2025)
Trainability barriers and opportunities in quantum generative modeling
by: Rudolph, Manuel S., et al.
Published: (2023)
by: Rudolph, Manuel S., et al.
Published: (2023)
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
by: Borella, Lorenzo, et al.
Published: (2024)
by: Borella, Lorenzo, et al.
Published: (2024)
Learning to Validate Generative Models: a Goodness-of-Fit Approach
by: Cappelli, Pietro, et al.
Published: (2025)
by: Cappelli, Pietro, et al.
Published: (2025)
Enforcing exact permutation and rotational symmetries in the application of quantum neural network on point cloud datasets
by: Li, Zhelun, et al.
Published: (2024)
by: Li, Zhelun, et al.
Published: (2024)
Generative adversarial neural networks for simulating neutrino interactions
by: Bonilla, Jose L., et al.
Published: (2025)
by: Bonilla, Jose L., et al.
Published: (2025)
Reconstructing charged particle track segments with a quantum-enhanced support vector machine
by: Duckett, Philippa, et al.
Published: (2022)
by: Duckett, Philippa, et al.
Published: (2022)
Tests of quantum contextuality in particle physics
by: Fabbrichesi, M., et al.
Published: (2025)
by: Fabbrichesi, M., et al.
Published: (2025)
Time, quantum entanglement, and particle decay
by: Aguilar-Saavedra, J. A.
Published: (2025)
by: Aguilar-Saavedra, J. A.
Published: (2025)
From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
by: Ngairangbam, Vishal S., et al.
Published: (2026)
by: Ngairangbam, Vishal S., et al.
Published: (2026)
Quantum Attention for Vision Transformers in High Energy Physics
by: Tesi, Alessandro, et al.
Published: (2024)
by: Tesi, Alessandro, et al.
Published: (2024)
Lie-Equivariant Quantum Graph Neural Networks
by: Neto, Jogi Suda, et al.
Published: (2024)
by: Neto, Jogi Suda, et al.
Published: (2024)
QINNs: Quantum-Informed Neural Networks
by: Bal, Aritra, et al.
Published: (2025)
by: Bal, Aritra, et al.
Published: (2025)
Impact of Circuit Depth versus Qubit Count on Variational Quantum Classifiers for Higgs Boson Signal Detection
by: Maulana, Fatih
Published: (2026)
by: Maulana, Fatih
Published: (2026)
Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
by: Sawaika, Abhishek, et al.
Published: (2026)
by: Sawaika, Abhishek, et al.
Published: (2026)
Learning Reduced Representations for Quantum Classifiers
by: Odagiu, Patrick, et al.
Published: (2025)
by: Odagiu, Patrick, et al.
Published: (2025)
Quantum anomaly detection in the latent space of proton collision events at the LHC
by: Belis, Vasilis, et al.
Published: (2023)
by: Belis, Vasilis, et al.
Published: (2023)
Guided Quantum Compression for High Dimensional Data Classification
by: Belis, Vasilis, et al.
Published: (2024)
by: Belis, Vasilis, et al.
Published: (2024)
Theory-informed neural networks for particle physics
by: Dillon, Barry M., et al.
Published: (2025)
by: Dillon, Barry M., et al.
Published: (2025)
Loss function to optimise signal significance in particle physics
by: Bardhan, Jai, et al.
Published: (2024)
by: Bardhan, Jai, et al.
Published: (2024)
Learning topological defects formation with neural networks in a quantum phase transition
by: Shi, Han-Qing, et al.
Published: (2022)
by: Shi, Han-Qing, et al.
Published: (2022)
Symmetry-preserving neural networks in lattice field theories
by: Favoni, Matteo
Published: (2025)
by: Favoni, Matteo
Published: (2025)
PC-Droid: Faster diffusion and improved quality for particle cloud generation
by: Leigh, Matthew, et al.
Published: (2023)
by: Leigh, Matthew, et al.
Published: (2023)
Historical origins of quantum entanglement in particle physics
by: Shi, Yu
Published: (2025)
by: Shi, Yu
Published: (2025)
Is the large uncertainty of $δ_{CP}$ fundamentally encoded in the neutrino quantum state?
by: Ignoti, Michela, et al.
Published: (2025)
by: Ignoti, Michela, et al.
Published: (2025)
Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
by: Puljak, Ema, et al.
Published: (2025)
by: Puljak, Ema, et al.
Published: (2025)
Training toward significance with the decorrelated event classifier transformer neural network
by: Kim, Jaebak
Published: (2023)
by: Kim, Jaebak
Published: (2023)
Applying generative neural networks for fast simulations of the ALICE (CERN) experiment
by: Wojnar, Maksymilian
Published: (2024)
by: Wojnar, Maksymilian
Published: (2024)
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions
by: Glüsenkamp, Thorsten
Published: (2020)
by: Glüsenkamp, Thorsten
Published: (2020)
Photon detection probability prediction using one-dimensional generative neural network
by: Mu, Wei, et al.
Published: (2021)
by: Mu, Wei, et al.
Published: (2021)
Machine-learning based particle-flow algorithm in CMS
by: Mokhtar, Farouk
Published: (2025)
by: Mokhtar, Farouk
Published: (2025)
Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics
by: Terin, Rodrigo Carmo
Published: (2024)
by: Terin, Rodrigo Carmo
Published: (2024)
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
by: Pata, Joosep, et al.
Published: (2023)
by: Pata, Joosep, et al.
Published: (2023)
AI-based particle track identification in scintillating fibres read out with imaging sensors
by: Bührer, Noemi, et al.
Published: (2024)
by: Bührer, Noemi, et al.
Published: (2024)
Combined track finding with GNN & CKF
by: Heinrich, Lukas, et al.
Published: (2024)
by: Heinrich, Lukas, et al.
Published: (2024)
Entanglement autodistillation from particle decays
by: Aguilar-Saavedra, J. A., et al.
Published: (2024)
by: Aguilar-Saavedra, J. A., et al.
Published: (2024)
Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs
by: Coppi, Alberto, et al.
Published: (2026)
by: Coppi, Alberto, et al.
Published: (2026)
Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025)
by: Casals, Mikel, et al.
Published: (2025)
Robust semi-parametric signal detection in particle physics with classifiers decorrelated via optimal transport
by: Chakravarti, Purvasha, et al.
Published: (2024)
by: Chakravarti, Purvasha, et al.
Published: (2024)
Quantum algorithms in particle physics
by: Rodrigo, Germán
Published: (2024)
by: Rodrigo, Germán
Published: (2024)
Similar Items
-
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
by: Bardhan, Jai, et al.
Published: (2025) -
Trainability barriers and opportunities in quantum generative modeling
by: Rudolph, Manuel S., et al.
Published: (2023) -
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
by: Borella, Lorenzo, et al.
Published: (2024) -
Learning to Validate Generative Models: a Goodness-of-Fit Approach
by: Cappelli, Pietro, et al.
Published: (2025) -
Enforcing exact permutation and rotational symmetries in the application of quantum neural network on point cloud datasets
by: Li, Zhelun, et al.
Published: (2024)