:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	De, Saibal, Knitter, Oliver, Kodati, Rohan, Jayakumar, Paramsothy, Stokes, James, Veerapaneni, Shravan
Formato:	Preprint
Publicado:	2025
Materias:	Computational Engineering, Finance, and Science Machine Learning Quantum Physics
Acceso en línea:	https://arxiv.org/abs/2504.08141
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
por: Knitter, Oliver, et al.
Publicado: (2024)

Large Language Model Scaling Laws for Neural Quantum States in Quantum Chemistry
por: Knitter, Oliver, et al.
Publicado: (2025)

An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
por: Cochran, Sam, et al.
Publicado: (2024)

TorchQuantumDistributed
por: Knitter, Oliver, et al.
Publicado: (2025)

A quantum algorithm for the Kalman filter using block encoding
por: Shi, Hao, et al.
Publicado: (2024)

A resource-efficient variational quantum algorithm for mRNA codon optimization
por: Zhang, Hongfeng, et al.
Publicado: (2024)

Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
por: Bose, Bhavna, et al.
Publicado: (2025)

Efficient tensor network simulation of IBM's largest quantum processors
por: Patra, Siddhartha, et al.
Publicado: (2023)

A quantum nonlinear solver based on the asymptotic numerical method
por: Xu, Yongchun, et al.
Publicado: (2024)

Application of Tensor Neural Networks to Pricing Bermudan Swaptions
por: Patel, Raj G., et al.
Publicado: (2023)

Universal Fourier Neural Operators for periodic homogenization problems in linear elasticity
por: Nguyen, Binh Huy, et al.
Publicado: (2025)

QUBO Formulations for Variation of Domination Problem
por: Pan, Haoqian, et al.
Publicado: (2024)

Traveling Salesman Problem with a preprocessing method for classical and quantum optimization
por: Ciacco, Alessia, et al.
Publicado: (2026)

A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
por: Nguyen, Van-Dung, et al.
Publicado: (2023)

Fast Higher-Order Interpolation and Restriction in ExaHyPE Avoiding Non-physical Reflections
por: Stokes, Timothy, et al.
Publicado: (2025)

Energy-based physics-informed neural network for frictionless contact problems under large deformation
por: Bai, Jinshuai, et al.
Publicado: (2024)

A novel design update framework for topology optimization with quantum annealing: Application to truss and continuum structures
por: Sukulthanasorn, Naruethep, et al.
Publicado: (2024)

Physics-informed neural networks for parameter learning of wildfire spreading
por: Vogiatzoglou, Konstantinos, et al.
Publicado: (2024)

Predicting the fatigue life of asphalt concrete using neural networks
por: Houlík, Jakub, et al.
Publicado: (2024)

Discovering uncertainty: Gaussian constitutive neural networks with correlated weights
por: McCulloch, Jeremy A., et al.
Publicado: (2025)

Learning solutions of parametric Navier-Stokes with physics-informed neural networks
por: Naderibeni, M., et al.
Publicado: (2024)

A Brief Review of Quantum Machine Learning for Financial Services
por: Doosti, Mina, et al.
Publicado: (2024)

Variational Deep Survival Machines: Survival Regression with Censored Outcomes
por: Wang, Qinxin, et al.
Publicado: (2024)

Projection-based multifidelity linear regression for data-scarce applications
por: Sella, Vignesh, et al.
Publicado: (2025)

Multifidelity linear regression for scientific machine learning from scarce data
por: Qian, Elizabeth, et al.
Publicado: (2024)

Local learning for stable backpropagation-free neural network training towards physical learning
por: Guo, Yaqi, et al.
Publicado: (2026)

Importance of localized dilatation and distensibility in identifying determinants of thoracic aortic aneurysm with neural operators
por: Li, David S., et al.
Publicado: (2025)

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
por: Bahmani, Bahador, et al.
Publicado: (2023)

Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
por: Chen, Dongsheng, et al.
Publicado: (2025)

Deep encoder-decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling
por: Ebbs-Picken, Takiah, et al.
Publicado: (2023)

LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures
por: Jain, Ayush, et al.
Publicado: (2024)

Convolutional neural network based reduced order modeling for multiscale problems
por: Zhang, Xuhan, et al.
Publicado: (2024)

Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
por: Padmanabha, Govinda Anantha, et al.
Publicado: (2024)

A Dual-Path neural network model to construct the flame nonlinear thermoacoustic response in the time domain
por: Wu, Jiawei, et al.
Publicado: (2024)

TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data
por: Correia, Lucas, et al.
Publicado: (2024)

Performance Evaluation of Variational Quantum Eigensolver and Quantum Dynamics Algorithms on the Advection-Diffusion Equation
por: Özgüler, A. Barış
Publicado: (2025)

COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates
por: Alheit, Benjamin, et al.
Publicado: (2025)

Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
por: Chen, Jungang, et al.
Publicado: (2023)

PIVONet: A Physically-Informed Variational Neuro ODE Model for Efficient Advection-Diffusion Fluid Simulation
por: Cheung, Hei Shing, et al.
Publicado: (2026)

Solving 1D Poisson problem with a Variational Quantum Linear Solver
por: Balducci, Giorgio Tosti, et al.
Publicado: (2024)