A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations
Fuente:
arXiv
Saved in:
| Main Authors: | Rehm, Florian, Vallecorsa, Sofia, Grossi, Michele, Borras, Kerstin, Krücker, Dirk |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Guided Quantum Compression for High Dimensional Data Classification
by: Belis, Vasilis, et al.
Published: (2024)
by: Belis, Vasilis, et al.
Published: (2024)
CaloPointFlow II Generating Calorimeter Showers as Point Clouds
by: Schnake, Simon, et al.
Published: (2024)
by: Schnake, Simon, et al.
Published: (2024)
Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025)
by: Casals, Mikel, et al.
Published: (2025)
Physics inspired quantum algorithm for QCD splitting functions
by: Rouxinol, Gabriel, et al.
Published: (2026)
by: Rouxinol, Gabriel, 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 Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
by: Di Meglio, Alberto, et al.
Published: (2023)
by: Di Meglio, Alberto, et al.
Published: (2023)
Trainability barriers and opportunities in quantum generative modeling
by: Rudolph, Manuel S., et al.
Published: (2023)
by: Rudolph, Manuel S., et al.
Published: (2023)
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)
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
by: Monaco, Saverio, et al.
Published: (2025)
by: Monaco, Saverio, et al.
Published: (2025)
Quantum Information meets High-Energy Physics: Input to the update of the European Strategy for Particle Physics
by: Afik, Yoav, et al.
Published: (2025)
by: Afik, Yoav, et al.
Published: (2025)
An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
by: Slim, Jamal, et al.
Published: (2026)
by: Slim, Jamal, et al.
Published: (2026)
Optimization-based Unfolding in High-Energy Physics
by: Gasperini, Simone, et al.
Published: (2026)
by: Gasperini, Simone, et al.
Published: (2026)
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
by: Slim, Jamal, et al.
Published: (2026)
by: Slim, Jamal, et al.
Published: (2026)
DeepTreeGANv2: Iterative Pooling of Point Clouds
by: Scham, Moritz Alfons Wilhelm, et al.
Published: (2023)
by: Scham, Moritz Alfons Wilhelm, et al.
Published: (2023)
Quantum Frontiers in High Energy Physics
by: Fang, Yaquan, et al.
Published: (2024)
by: Fang, Yaquan, et al.
Published: (2024)
From angular coefficients to quantum observables: a phenomenological appraisal in di-boson systems
by: Grossi, Michele, et al.
Published: (2024)
by: Grossi, Michele, et al.
Published: (2024)
Coherent Quantum Evaluation of Collider Amplitudes for Effective Field Theory Constraints
by: Haddad, Yacine, et al.
Published: (2026)
by: Haddad, Yacine, et al.
Published: (2026)
Loop Feynman integration on a quantum computer
by: de Lejarza, Jorge J. Martínez, et al.
Published: (2024)
by: de Lejarza, Jorge J. Martínez, et al.
Published: (2024)
Quantum Attention for Vision Transformers in High Energy Physics
by: Tesi, Alessandro, et al.
Published: (2024)
by: Tesi, Alessandro, et al.
Published: (2024)
A Novel Quantum Realization of Jet Clustering in High-Energy Physics Experiments
by: Zhu, Yongfeng, et al.
Published: (2024)
by: Zhu, Yongfeng, et al.
Published: (2024)
High-Energy Decays and Weak Quantum Measurements
by: Barr, Alan J.
Published: (2025)
by: Barr, Alan J.
Published: (2025)
Particle Collisions & Quantum Entanglement in High-Energy Collisions
by: Gabrielli, Emidio
Published: (2025)
by: Gabrielli, Emidio
Published: (2025)
Pay Attention To Mean Fields For Point Cloud Generation
by: Käch, Benno, et al.
Published: (2024)
by: Käch, Benno, et al.
Published: (2024)
Quantum Pathways for Charged Track Finding in High-Energy Collisions
by: Brown, Christopher, et al.
Published: (2023)
by: Brown, Christopher, et al.
Published: (2023)
Optimised Inference of Quantum Phenomena in High-Energy Collider Experiments
by: Nguyen, Hai-Chau, et al.
Published: (2026)
by: Nguyen, Hai-Chau, et al.
Published: (2026)
Quantum-Annealing-Inspired Algorithms for Track Reconstruction at High-Energy Colliders
by: Okawa, Hideki, et al.
Published: (2024)
by: Okawa, Hideki, et al.
Published: (2024)
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)
Towards Designing Scalable Quantum-Enhanced Generative Networks for Neutrino Physics Experiments with Liquid Argon Time Projection Chambers
by: Delgado, Andrea, et al.
Published: (2024)
by: Delgado, Andrea, et al.
Published: (2024)
Quantum Computing for Energy Correlators
by: Lee, Kyle, et al.
Published: (2024)
by: Lee, Kyle, et al.
Published: (2024)
Full quantum tomography of top quark decays
by: Aguilar-Saavedra, J. A.
Published: (2024)
by: Aguilar-Saavedra, J. A.
Published: (2024)
Comparing Generative Models with the New Physics Learning Machine
by: Grossi, Samuele, et al.
Published: (2025)
by: Grossi, Samuele, et al.
Published: (2025)
Quantum-centric Supercomputing for Physics Research
by: Pascuzzi, Vincent R., et al.
Published: (2024)
by: Pascuzzi, Vincent R., et al.
Published: (2024)
The Maximal Entanglement Limit in Statistical and High Energy Physics
by: Kharzeev, Dmitri E.
Published: (2026)
by: Kharzeev, Dmitri E.
Published: (2026)
Odd Physics Off the Diagonal: Constraining CP-violating SMEFT with Quantum Tomography
by: Roberts, Avalon, et al.
Published: (2026)
by: Roberts, Avalon, et al.
Published: (2026)
1 Particle - 1 Qubit: Particle Physics Data Encoding for Quantum Machine Learning
by: Bal, Aritra, et al.
Published: (2025)
by: Bal, Aritra, et al.
Published: (2025)
Event Generators for High-Energy Physics Experiments
by: Campbell, J. M., et al.
Published: (2022)
by: Campbell, J. M., et al.
Published: (2022)
Transfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
by: Schott, Matthias, et al.
Published: (2026)
by: Schott, Matthias, et al.
Published: (2026)
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
by: Fadol, Abdualazem, et al.
Published: (2022)
by: Fadol, Abdualazem, et al.
Published: (2022)
QINNs: Quantum-Informed Neural Networks
by: Bal, Aritra, et al.
Published: (2025)
by: Bal, Aritra, et al.
Published: (2025)
Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
by: Grossi, Michele, et al.
Published: (2023)
by: Grossi, Michele, et al.
Published: (2023)
Similar Items
-
Guided Quantum Compression for High Dimensional Data Classification
by: Belis, Vasilis, et al.
Published: (2024) -
CaloPointFlow II Generating Calorimeter Showers as Point Clouds
by: Schnake, Simon, et al.
Published: (2024) -
Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025) -
Physics inspired quantum algorithm for QCD splitting functions
by: Rouxinol, Gabriel, et al.
Published: (2026) -
Learning Reduced Representations for Quantum Classifiers
by: Odagiu, Patrick, et al.
Published: (2025)