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1.
Properties of Cosmic Lithium Isotopes Measured by the Alpha Magnetic Spectrometer / AMS Collaboration
We present the first measurement of cosmic-ray fluxes of  Li6 and  Li7 isotopes in the rigidity range from 1.9 to 25 GV. The measurements are based on 9.7×105  Li6 and 1.04×106  Li7 nuclei collected by the Alpha Magnetic Spectrometer on the International Space Station from May 2011 to October 2023. [...]
2025 - 8 p. - Published in : Phys. Rev. Lett. 134 (2025) 201001 Fulltext: PDF;
2.
Antiprotons and Elementary Particles over a Solar Cycle: Results from the Alpha Magnetic Spectrometer / AMS Collaboration
We present results over an 11-year Solar cycle of cosmic antiprotons based on 1.1×106 events in the rigidity range from 1.00 to 41.9 GV. The p¯ fluxes exhibit distinct properties. [...]
2025 - 12 p. - Published in : Phys. Rev. Lett. 134 (2025) 051002 Fulltext: PDF;
3.
Solar Modulation of Cosmic Nuclei over a Solar Cycle: Results from the Alpha Magnetic Spectrometer / AMS Collaboration
We report the properties of precision time structures of cosmic nuclei He, Li, Be, B, C, N, and O fluxes over an 11-year solar cycle from May 2011 to November 2022 in the rigidity range from 1.92 to 60.3 GV. The nuclei fluxes show similar but not identical time variations with amplitudes decreasing with increasing rigidity. [...]
2025 - 8 p. - Published in : Phys. Rev. Lett. 134 (2025) 051001 Fulltext: PDF;
4.
Charged-current non-standard neutrino interactions at Daya Bay / Daya Bay Collaboration
The full data set of the Daya Bay reactor neutrino experiment is used to probe the effect of the charged current non-standard interactions (CC-NSI) on neutrino oscillation experiments. Two different approaches are applied and constraints on the corresponding CC-NSI parameters are obtained with the neutrino flux taken from the Huber-Mueller model with a $5\%$ uncertainty. [...]
arXiv:2401.02901.- 2024-05-16 - 25 p. - Published in : JHEP 2405 (2024) 204 Fulltext: document - PDF; 2401.02901 - PDF;
5.
A Study on Quantum Graph Neural Networks Applied to Molecular Physics / Piperno, Simone (U. Rome La Sapienza (main)) ; Ceschini, Andrea (U. Rome La Sapienza (main)) ; Chang, Su Yeon (CERN ; LPHE, Lausanne) ; Grossi, Michele (CERN) ; Vallecorsa, Sofia (CERN) ; Panella, Massimo (U. Rome La Sapienza (main))
This paper introduces a novel architecture for Quantum Graph Neural Networks, which is significantly different from previous approaches found in the literature. The proposed approach produces similar outcomes with respect to previous models but with fewer parameters, resulting in an extremely interpretable architecture rooted in the underlying physics of the problem. [...]
arXiv:2408.03427.- 2025-05-28 - 20 p. - Published in : Phys. Scr. 100 (2025) 065126 Fulltext: 2408.03427 - PDF; document - PDF;
6.
Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise / Tüysüz, Cenk (DESY ; Humboldt U., Berlin) ; Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Demidik, Maria (DESY ; Cyprus Inst.) ; Jansen, Karl (DESY ; Cyprus Inst.) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
Geometric quantum machine learning based on equivariant quantum neural networks (EQNN) recently appeared as a promising direction in quantum machine learning. Despite the encouraging progress, the studies are still limited to theory, and the role of hardware noise in EQNN training has never been explored. [...]
arXiv:2401.10293.- 2024-07-01 - 20 p. - Published in : PRX Quantum 5 (2024) 030314 Fulltext: Publication - PDF; 2401.10293 - PDF;
7.
Properties of Cosmic Deuterons Measured by the Alpha Magnetic Spectrometer / AMS Collaboration
Precision measurements by the Alpha Magnetic Spectrometer (AMS) on the International Space Station of the deuteron (D) flux are presented. The measurements are based on 21×106 D nuclei in the rigidity range from 1.9 to 21 GV collected from May 2011 to April 2021. [...]
2024 - 8 p. - Published in : Phys. Rev. Lett. 132 (2024) 261001 Fulltext: PDF;
8.
Latent Style-based Quantum GAN for high-quality Image Generation / Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Thanasilp, Supanut (Ecole Polytechnique, Lausanne ; Chulalongkorn U. ; European Space Agency) ; Le Saux, Bertrand (European Space Agency) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
Quantum generative modeling is among the promising candidates for achieving a practical advantage in data analysis. [...]
arXiv:2406.02668.
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Fulltext
9.
CEPC Technical Design Report: Accelerator / CEPC Study Group Collaboration
The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners. The complex comprises four accelerators: a 30 GeV Linac, a 1.1 GeV Damping Ring, a Booster capable of achieving energies up to 180 GeV, and a Collider operating at varying energy modes (Z, W, H, and ttbar). [...]
arXiv:2312.14363; IHEP-CEPC-DR-2023-01; IHEP-AC-2023-01.- 2024-12-16 - 9 p. - Published in : Radiat. Detect. Technol. Methods: 8 (2024) , no. 1, pp. 1-1105 Fulltext: 2312.14363 - PDF; Publication - PDF; document - PDF;
10.
Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images / Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Grossi, Michele (CERN) ; Saux, Bertrand Le (European Space Agency) ; Vallecorsa, Sofia (CERN)
Quantum Neural Networks (QNNs) are suggested as one of the quantum algorithms which can be efficiently simulated with a low depth on near-term quantum hardware in the presence of noises. However, their performance highly relies on choosing the most suitable architecture of Variational Quantum Algorithms (VQAs), and the problem-agnostic models often suffer issues regarding trainability and generalization power. [...]
arXiv:2310.02323.- 2023-09-17 - 7 p. - Published in : 10.1109/QCE57702.2023.00033 Fulltext: 2310.02323 - PDF; Publication - PDF; document - PDF;
In : 2023 International Conference on Quantum Computing and Engineering (QCE23), Bellevue, United States, 17 - 22 Sep 2023, pp.229-235

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