Zobrazeno 1 - 10
of 615
pro vyhledávání: '"MADAY, Yvon"'
Publikováno v:
Comptes Rendus. Mécanique, Vol , Iss , Pp 1-18 (2023)
Linear model reduction techniques design offline low-dimensional subspaces that are tailored to the approximation of solutions to a parameterized partial differential equation, for the purpose of fast online numerical simulations. These methods, such
Externí odkaz:
https://doaj.org/article/6570fc798d8b4344891e36e1116c8d58
Publikováno v:
Comptes Rendus. Mathématique, Vol 358, Iss 9-10, Pp 981-987 (2021)
This note adresses the following segmentation problem in medical imaging: minimize expert intervention for semi-automatic segmentation process. Using a reduced basis, we have an a priori knowledge of the objet we want to identify on the images, like
Externí odkaz:
https://doaj.org/article/7ae5996e7aaf4ac3a95066a0ee416b2b
Publikováno v:
Comptes Rendus Biologies, Vol 343, Iss 2, Pp 177-209 (2020)
In the fight against the spread of COVID-19 the emphasis is on vaccination or on reactivating existing drugs used for other purposes. The tight links that necessarily exist between the virus as it multiplies and the metabolism of its host are systema
Externí odkaz:
https://doaj.org/article/cb6165bd1935404293ed634a7e0a9c15
Reduced basis methods for approximating the solutions of parameter-dependant partial differential equations (PDEs) are based on learning the structure of the set of solutions - seen as a manifold ${\mathcal S}$ in some functional space - when the par
Externí odkaz:
http://arxiv.org/abs/2407.03769
Autor:
Traore, Diata, Adjoua, Olivier, Feniou, César, Lygatsika, Ioanna-Maria, Maday, Yvon, Posenitskiy, Evgeny, Hammernik, Kerstin, Peruzzo, Alberto, Toulouse, Julien, Giner, Emmanuel, Piquemal, Jean-Philip
Publikováno v:
Communications Chemistry, 2024, 7, 269
Using GPU-accelerated state-vector emulation, we propose to embed a quantum computing ansatz into density-functional theory via density-based basis-set corrections (DBBSC) to obtain quantitative quantum-chemistry results on molecules that would other
Externí odkaz:
http://arxiv.org/abs/2405.11567
Coupled cluster methods are widely regarded as the gold standard of computational quantum chemistry as they are perceived to offer the best compromise between computational cost and a high-accuracy resolution of the ground state eigenvalue of the ele
Externí odkaz:
http://arxiv.org/abs/2311.00637
Autor:
Feniou, César, Claudon, Baptiste, Hassan, Muhammad, Courtat, Axel, Adjoua, Olivier, Maday, Yvon, Piquemal, Jean-Philip
Hybrid quantum-classical adaptive Variational Quantum Eigensolvers (VQE) already hold the potential to outperform classical computing for simulating quantum many-body systems. However, their practical implementation on current quantum processing unit
Externí odkaz:
http://arxiv.org/abs/2306.17159
Autor:
Gong, Chen, Maday, Yvon
Molecular representation learning (MRL) has long been crucial in the fields of drug discovery and materials science, and it has made significant progress due to the development of natural language processing (NLP) and graph neural networks (GNNs). NL
Externí odkaz:
http://arxiv.org/abs/2305.14819
Autor:
Dusson, Geneviève, Maday, Yvon
In this article, we present an overview of different a posteriori error analysis and postprocessing methods proposed in the context of nonlinear eigenvalue problems, e.g. arising inelectronic structure calculations for the calculation of the ground s
Externí odkaz:
http://arxiv.org/abs/2303.01273
Autor:
Feniou, César, Hassan, Muhammad, Traoré, Diata, Giner, Emmanuel, Maday, Yvon, Piquemal, Jean-Philip
Publikováno v:
Commun. Phys. 6 (2023) 192
ADAPT-VQE is a robust algorithm for hybrid quantum-classical simulations of quantum chemical systems on near-term quantum computers. While its iterative process systematically reaches the ground state energy, ADAPT-VQE is sensitive to local energy mi
Externí odkaz:
http://arxiv.org/abs/2301.10196