Zobrazeno 1 - 10
of 269
pro vyhledávání: '"P. Bondesan"'
Autor:
Azzouzi, Mohammed, Bennett, Steven, Posligua, Victor, Bondesan, Roberto, Zwijnenburg, Martijn A., Jelfs, Kim E.
Identifying organic molecules with desirable properties from the extensive chemical space can be challenging, particularly when property evaluation methods are time-consuming and resource intensive. In this study, we illustrate this challenge by expl
Externí odkaz:
http://arxiv.org/abs/2411.01900
Autor:
Bondesan, Andrea, Tang, Bao Quoc
We consider hard-potential cutoff multi-species Boltzmann operators modeling microscopic binary elastic collisions and bimolecular reversible chemical reactions inside a gaseous mixture. We prove that the spectral gap estimate derived for the lineari
Externí odkaz:
http://arxiv.org/abs/2410.15055
Continuous normalizing flows are known to be highly expressive and flexible, which allows for easier incorporation of large symmetries and makes them a powerful tool for sampling in lattice field theories. Building on previous work, we present a gene
Externí odkaz:
http://arxiv.org/abs/2410.13161
We introduce a system of Saint-Venant-type equations to model laboratory experiments of dam-break particle-laden flows. We explore homogeneous and non-cohesive liquid-solid suspensions of monodispersed glass beads that propagate as single-phase flows
Externí odkaz:
http://arxiv.org/abs/2408.06980
Autor:
Bondesan, Andrea, Piralla, Antonio, Ballante, Elena, Pitrolo, Antonino Maria Guglielmo, Figini, Silvia, Baldanti, Fausto, Zanella, Mattia
A pipeline to evaluate the evolution of viral dynamics based on a new model-driven approach has been developed in the present study. The proposed methods exploit real data and the multiscale structure of the infection dynamics to provide robust predi
Externí odkaz:
http://arxiv.org/abs/2407.03158
Autor:
Šmíd, Štěpán, Bondesan, Roberto
Predicting properties across system parameters is an important task in quantum physics, with applications ranging from molecular dynamics to variational quantum algorithms. Recently, provably efficient algorithms to solve this task for ground states
Externí odkaz:
http://arxiv.org/abs/2405.12309
Autor:
Bertaglia, Giulia, Bondesan, Andrea, Burini, Diletta, Eftimie, Raluca, Pareschi, Lorenzo, Toscani, Giuseppe
This paper presents a critical analysis of the literature and perspective research ideas for modeling the epidemics caused by the SARS-CoV-2 virus. It goes beyond deterministic population dynamics to consider several key complexity features of the sy
Externí odkaz:
http://arxiv.org/abs/2405.00541
Autor:
El-Kadi, Andrew, Bondesan, Roberto
Establishing quantum advantage for variational quantum algorithms is an important direction in quantum computing. In this work, we apply the Quantum Approximate Optimisation Algorithm (QAOA) -- a popular variational quantum algorithm for general comb
Externí odkaz:
http://arxiv.org/abs/2401.02852
Autor:
Šmíd, Štěpán, Bondesan, Roberto
In this work, we consider a fundamental task in quantum many-body physics - finding and learning ground states of quantum Hamiltonians and their properties. Recent works have studied the task of predicting the ground state expectation value of sums o
Externí odkaz:
http://arxiv.org/abs/2312.17019
We propose a kinetic model for understanding the link between opinion formation phenomena and epidemic dynamics. The recent pandemic has brought to light that vaccine hesitancy can present different phases and temporal and spatial variations, presuma
Externí odkaz:
http://arxiv.org/abs/2310.19601