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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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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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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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Basics of quantum computing (hands-on)
/ Chang, Su Yeon (speaker) (EPFL - Ecole Polytechnique Federale Lausanne (CH))
Abstract
This hands-on session focuses on understanding the fundamental concepts of quantum computing, which are introduced during the presentation, such as superposition and entanglement, as well as one of the most well-known quantum algorithms, Grover's algorithm. The students will explore the practical usage of quantum computing with one of the most commonly used quantum computing languages, Qiskit, and learn how qubits form the foundation of quantum computation. [...]
2023 - 4340.
CERN openlab summer student lecture programme; Barthe, A., Chang, S. Y. ''Introduction to Quantum Computing''
External links: Talk details; Event details
In : Barthe, A., Chang, S. Y. ''Introduction to Quantum Computing''
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Quantum Convolutional Circuits for Earth Observation Image Classification
/ Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Le Saux, Bertrand (European Space Agency) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
The amount of study on Quantum Machine Learning (QML) is increasing extensively due to its potential advantages in terms of representational power and computational resources. These advances suggest a possibility to extend its usage into the context of Earth Observations, where Machine Learning (ML) plays an important role due to its extensive amount of data to be manipulated. [...]
2022 - 4 p.
- Published in : 10.1109/IGARSS46834.2022.9883992
In : IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17 - 22 Jul 2022, pp.4907-4910
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Quantum Computing for Data Analysis in High-Energy Physics
/ Delgado, Andrea (Oak Ridge) ; Hamilton, Kathleen E. (Oak Ridge) ; Date, Prasanna (Oak Ridge) ; Vlimant, Jean-Roch (Caltech) ; Magano, Duarte (Lisbon U.) ; Omar, Yasser (Lisbon U.) ; Bargassa, Pedrame (LIP, Lisbon) ; Francis, Anthony (NYCU, Hsinchu ; CERN) ; Gianelle, Alessio (INFN, Padua) ; Sestini, Lorenzo (INFN, Padua) et al.
Some of the biggest achievements of the modern era of particle physics, such as the discovery of the Higgs boson, have been made possible by the tremendous effort in building and operating large-scale experiments like the Large Hadron Collider or the Tevatron. [...]
arXiv:2203.08805.
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eConf - Fulltext
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Impact of quantum noise on the training of quantum Generative Adversarial Networks
/ Borras, Kerstin (DESY, Zeuthen ; RWTH Aachen U.) ; Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Funcke, Lena (MIT, Cambridge, CTP ; IAIFI, Cambridge) ; Grossi, Michele (CERN) ; Hartung, Tobias (Cyprus Inst. ; Bath U.) ; Jansen, Karl (DESY, Zeuthen) ; Kruecker, Dirk (DESY, Zeuthen) ; Kühn, Stefan (Cyprus Inst.) ; Rehm, Florian (CERN ; RWTH Aachen U.) ; Tüysüz, Cenk (DESY, Zeuthen ; Humboldt U., Berlin) et al.
Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different error mitigation and error correction techniques have been proposed. [...]
arXiv:2203.01007; MIT-CTP/5400.-
2023 - 6 p.
- Published in : J. Phys.: Conf. Ser.
Fulltext: 2203.01007 - PDF; document - PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012093
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