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CERN Document Server Pronađeno je 1,689 zapisa  1 - 10slijedećikraj  idi na zapis: Pretraživanje je potrajalo 1.26 sekundi 
1.
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;
Detaljnije - Slični zapisi
2.
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. [...]
arXiv:2408.03427. - 20.
Fulltext
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3.
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: 2401.10293 - PDF; Publication - PDF;
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4.
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;
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5.
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. - 28 p.
Fulltext
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6.
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.- 2024-06-03 - 1106 p. - Published in : Radiat. Detect. Technol. Methods 8 (2024) 1-1105 Fulltext: 2312.14363 - PDF; Publication - PDF;
Detaljnije - Slični zapisi
7.
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;
In : 2023 International Conference on Quantum Computing and Engineering (QCE23), Bellevue, United States, 17 - 22 Sep 2023, pp.229-235
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8.
First Result from the Alpha Magnetic Spectrometer on the International Space Station: Precision Measurement of the Positron Fraction in Primary Cosmic Rays of 0.5–350 GeV / AMS Collaboration
A precision measurement by the Alpha Magnetic Spectrometer on the International Space Station of the positron fraction in primary cosmic rays in the energy range from 0.5 to 350 GeV based on 6.8×106 positron and electron events is presented. The very accurate data show that the positron fraction is steadily increasing from 10 to ∼250  GeV, but, from 20 to 250 GeV, the slope decreases by an order of magnitude. [...]
2013 - 10 p. - Published in : Phys. Rev. Lett. 110 (2013) 141102 External links: Interactions.org article; Symmetry Magazine article; Press Release
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9.
Temporal Structures in Positron Spectra and Charge-Sign Effects in Galactic Cosmic Rays / AMS Collaboration
We present the precision measurements of 11 years of daily cosmic positron fluxes in the rigidity range from 1.00 to 41.9 GV based on 3.4×106 positrons collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The positron fluxes show distinctly different time variations from the electron fluxes at short and long timescales. [...]
2023 - 10 p. - Published in : Phys. Rev. Lett. 131 (2023) 151002 Fulltext: PDF;
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10.
Running the Dual-PQC GAN on noisy simulators and real quantum hardware / Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Agnew, Edwin (Cambridge U.) ; Combarro, Elías F (Oviedo U.) ; Grossi, Michele (CERN) ; Herbert, Steven (Cambridge U.) ; Vallecorsa, Sofia (CERN)
In an earlier work, we introduced dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Networks (GAN), an advanced prototype of a quantum GAN. We applied the model on a realistic High-Energy Physics (HEP) use case: the exact theoretical simulation of a calorimeter response with a reduced problem size. [...]
arXiv:2205.15003.- 2023 - 6 p. - Published in : J. Phys. : Conf. Ser.: 2438 (2023) , no. 1, pp. 012062
Fulltext: document - PDF; 2205.15003 - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012062
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CERN Document Server : Pronađeno je 1,689 zapisa   1 - 10slijedećikraj  idi na zapis:
Također vidi: slična imena autora
3 Chang, Y H
1 Chang, Y -C
1 Chang, Y -H
1 Chang, Y -W
4 Chang, Y -Y
2 Chang, Y A
1 Chang, Y B
25 Chang, Y C
15 Chang, Y F
1 Chang, Y G
262 Chang, Y H
2 Chang, Y I
5 Chang, Y J
1 Chang, Y K
5 Chang, Y L
3 Chang, Y M
1 Chang, Y P
1 Chang, Y S
8 Chang, Y W
6 Chang, Y  H
5 Chang, Y.
1 Chang, Y. H.
136 Chang, Y.H.
1 Chang, Y.W.
1 Chang, Yadong
2 Chang, Yang
1 Chang, Yang-Chun
2 Chang, Yanxun
1 Chang, Yao-Wen
4 Chang, Yen-Chang
6 Chang, Yi
1 Chang, Yi Wang
1 Chang, Yi-Fan
35 Chang, Yi-Fang
1 Chang, Yi-Lu
5 Chang, Yia-Chung
9 Chang, Yin-Chang
1 Chang, Yoon Il
631 Chang, You-Hao
1 Chang, Youn-Gyoung
1 Chang, Young-Hui
2 Chang, Yu-Chiao
1 Chang, Yu-Hao
157 Chang, Yu-Hsiang
1 Chang, Yu-Hsien
3 Chang, Yu-Ling
544 Chang, Yu-Wei
11 Chang, Yu-Yen
157 Chang, Yu-hsiang
1 Chang, YuYen
237 Chang, Yuan-Hann
7 Chang, Yuan-Pin
1 Chang, Yuancheng
1 Chang, Yuanjiang
7 Chang, Yue
1 Chang, Yulin V
2 Chang, Yun
2 Chang, Yung-Wei
1 Chang, Yung-Yeh
2 Chang, Yung-wei
32 chang, Y
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