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Quantum Computing for High-Energy Physics : State of the Art and Challenges / Di Meglio, Alberto (CERN) ; Jansen, Karl (DESY, Zeuthen ; Cyprus Inst.) ; Tavernelli, Ivano (IBM, Zurich) ; Alexandrou, Constantia (Cyprus U. ; Cyprus Inst.) ; Arunachalam, Srinivasan (IBM Watson Res. Ctr.) ; Bauer, Christian W. (LBNL, Berkeley) ; Borras, Kerstin (DESY ; Aachen, Tech. Hochsch.) ; Carrazza, Stefano (Milan U. ; CERN) ; Crippa, Arianna (DESY, Zeuthen ; Humboldt U., Berlin) ; Croft, Vincent (U. Leiden (main)) et al.
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage, namely a significant (in some cases exponential) speed-up of numerical simulations. The rapid development of hardware devices with various realizations of qubits enables the execution of small scale but representative applications on quantum computers. [...]
arXiv:2307.03236; FERMILAB-PUB-23-468-ETD.- 2024-08-01 - 49 p. - Published in : PRX Quantum 5 (2024) 037001 Fulltext: 2307.03236 - PDF; FERMILAB-PUB-23-468-ETD - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning / Shanahan, Phiala (MIT) ; Terao, Kazuhiro (SLAC) ; Whiteson, Daniel (UC, Irvine) ; Aarts, Gert (Swansea U. ; ECT, Trento ; Fond. Bruno Kessler, Trento) ; Adelmann, Andreas (Northeastern U. ; PSI, Villigen) ; Akchurin, N. (Texas Tech.) ; Alexandru, Andrei (George Washington U. ; Maryland U.) ; Amram, Oz (Johns Hopkins U.) ; Andreassen, Anders (Google Inc.) ; Apresyan, Artur (Fermilab) et al.
The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. [...]
arXiv:2209.07559 ; FERMILAB-CONF-22-719-ND-PPD-QIS-SCD. -
Fermilab Library Server - eConf - Fulltext - 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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Dimensional Expressivity Analysis of Parametric Quantum Circuits / Funcke, Lena (speaker) (Perimeter Institute)
Parametric quantum circuits play a crucial role in the performance of many variational quantum algorithms. To successfully implement such algorithms, one must design efficient quantum circuits that sufficiently approximate the solution space while maintaining a low parameter count and circuit depth. [...]
2021 - 1:01:32. TH institutes; Perspectives on Quantum Sensing and Computation for Particle Physics External links: Talk details; Event details In : Perspectives on Quantum Sensing and Computation for Particle Physics

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