Zobrazeno 1 - 10
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pro vyhledávání: '"Atchadé AT"'
Quantum Computing (QC) offers outstanding potential for molecular characterization and drug discovery, particularly in solving complex properties like the Ground State Energy (GSE) of biomolecules. However, QC faces challenges due to computational no
Externí odkaz:
http://arxiv.org/abs/2412.11405
With a warming planet, tropical regions are expected to experience the brunt of climate change, with more intense and more volatile rainfall events. Currently, state-of-the-art numerical weather prediction (NWP) models are known to struggle to produc
Externí odkaz:
http://arxiv.org/abs/2410.14062
Variable selection in high-dimensional spaces is a pervasive challenge in contemporary scientific exploration and decision-making. However, existing approaches that are known to enjoy strong statistical guarantees often struggle to cope with the comp
Externí odkaz:
http://arxiv.org/abs/2407.20580
Solving partial differential equations (PDEs) and their inverse problems using Physics-informed neural networks (PINNs) is a rapidly growing approach in the physics and machine learning community. Although several architectures exist for PINNs that w
Externí odkaz:
http://arxiv.org/abs/2406.14808
Autor:
Atchadé, Yves F., Jacob, Pierre E.
This document presents methods to remove the initialization or burn-in bias from Markov chain Monte Carlo (MCMC) estimates, with consequences on parallel computing, convergence diagnostics and performance assessment. The document is written as an int
Externí odkaz:
http://arxiv.org/abs/2406.06851
Cyclical MCMC is a novel MCMC framework recently proposed by Zhang et al. (2019) to address the challenge posed by high-dimensional multimodal posterior distributions like those arising in deep learning. The algorithm works by generating a nonhomogen
Externí odkaz:
http://arxiv.org/abs/2403.00230
Quantum algorithms have begun to surpass classical ones in several computation fields, yet practical application remains challenging due to hardware and software limitations. Here, we introduce a quantum algorithm that quadratically improves spatial
Externí odkaz:
http://arxiv.org/abs/2312.09036
As we venture into the Intermediate-Scale Quantum (ISQ) era, the proficiency of modular arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This study presents an array of quantum circuits, each precision-engineered
Externí odkaz:
http://arxiv.org/abs/2311.08555
We consider inverse problems where the conditional distribution of the observation ${\bf y}$ given the latent variable of interest ${\bf x}$ (also known as the forward model) is known, and we have access to a data set in which multiple instances of $
Externí odkaz:
http://arxiv.org/abs/2311.06395
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-17 (2024)
Abstract Climate change's effect on agriculture is a severe problem in every society, particularly in West Africa. The rising temperatures and extreme weather events have significant implications for food security. In this study, we examine the effec
Externí odkaz:
https://doaj.org/article/e9f3c66790e3451b8b8fd6de2078f314
