:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Freitas, William
Format:	Preprint
Published:	2026
Subjects:	Computational Physics
Online Access:	https://arxiv.org/abs/2603.15460
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo
by: Kessler, Jan, et al.
Published: (2026)

Neural network variational Monte Carlo for positronic chemistry
by: Cassella, G., et al.
Published: (2023)

Adaptive quantum dynamics with the time-dependent variational Monte Carlo method
by: Salioni, Raffaele, et al.
Published: (2025)

Iterative variational learning of committor-consistent transition pathways using artificial neural networks
by: Megías, Alberto, et al.
Published: (2024)

Statistical physics for artificial neural networks
by: Pei, Zongrui
Published: (2025)

An improved penalty-based excited-state variational Monte Carlo approach with deep-learning ansatzes
by: Szabó, P. Bernát, et al.
Published: (2024)

An effective introduction to the Markov Chain Monte Carlo method
by: Wang, Wenlong
Published: (2022)

Monte Carlo Physics-informed neural networks for multiscale heat conduction via phonon Boltzmann transport equation
by: Lin, Qingyi, et al.
Published: (2024)

Performance of artificial neural networks in an inverse problem of laser beam diagnostics
by: Pietrak, Karol, et al.
Published: (2025)

Building imaginary-time thermal field theory with artificial neural networks
by: Xu, Tian, et al.
Published: (2024)

The design, verification, and applications of Hotspice: a Monte Carlo simulator for artificial spin ice
by: Maes, Jonathan, et al.
Published: (2024)

The Quantization Monte Carlo method for solving radiative transport equations
by: Laguzet, Laetitia, et al.
Published: (2023)

Convergence of variational Monte Carlo simulation and scale-invariant pre-training
by: Abrahamsen, Nilin, et al.
Published: (2023)

Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
by: Sajjan, Manas, et al.
Published: (2024)

Moment-preserving Monte-Carlo Coulomb collision method for particle codes
by: Angus, Justin Ray, et al.
Published: (2024)

Neural network-based nodal structures optimization for interacting fermionic systems
by: Freitas, William, et al.
Published: (2024)

Zero-temperature Monte Carlo simulations of two-dimensional quantum spin glasses guided by neural network states
by: Brodoloni, L., et al.
Published: (2024)

Spontaneous emergence of linguistic statistical laws in images via artificial neural networks
by: Tsai, Ping-Rui, et al.
Published: (2025)

Quantum time dynamics mediated by the Yang-Baxter equation and artificial neural networks
by: Gulania, Sahil, et al.
Published: (2024)

Scaling of contraction costs for entanglement renormalization algorithms including tensor Trotterization and variational Monte Carlo
by: Barthel, Thomas, et al.
Published: (2024)

An iterative Monte Carlo method to solve nonlinear second-order differential equations
by: Chávez-Páez, Martín, et al.
Published: (2024)

A brief introduction to the diffusion Monte Carlo method and the fixed-node approximation
by: Annarelli, Alfonso, et al.
Published: (2024)

Variational subspace methods and application to improving variational Monte Carlo dynamics
by: Kahn, Adrien, et al.
Published: (2025)

Quantum-assisted variational Monte Carlo
by: Chang, Longfei, et al.
Published: (2025)

Exchange Monte Carlo for continuous-space Path Integral Monte Carlo simulation
by: Zhao, Xun, et al.
Published: (2026)

Neural Mode Jump Monte Carlo
by: Sbailò, Luigi, et al.
Published: (2019)

Dual formulation of the maximum entropy method applied to analytic continuation of quantum Monte Carlo data
by: Chuna, Thomas, et al.
Published: (2025)

Tensor-network-based variational Monte Carlo approach to the non-equilibrium steady state of open quantum systems
by: Hryniuk, Dawid A., et al.
Published: (2024)

Exploring explicit coarse-grained structure in artificial neural networks
by: Yang, Xi-Ci, et al.
Published: (2022)

GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules
by: Ghorbani, Mahdi, et al.
Published: (2022)

Minimization of ion micromotion with artificial neural network
by: Liu, Yang, et al.
Published: (2021)

Effects of the entropy source on Monte Carlo simulations
by: Lebedev, Anton, et al.
Published: (2024)

On the Impact of Monte Carlo Statistical Uncertainty on Surrogate-based Design Optimization
by: Erdem, Omer F., et al.
Published: (2025)

Comparison between tensor methods and neural networks in electronic structure calculations
by: Dus, Mathias, et al.
Published: (2024)

Adjoint Monte Carlo Method
by: Caflisch, Russel, et al.
Published: (2024)

QMCkl: A Kernel Library for Quantum Monte Carlo Applications
by: Slootman, Emiel, et al.
Published: (2025)

TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods
by: Nakano, Kousuke, et al.
Published: (2023)

Control variates with neural networks
by: Oh, Hyunwoo
Published: (2025)

Deep quantum Monte Carlo approach for polaritonic chemistry
by: Tang, Yifan, et al.
Published: (2025)

Dynamic correlations with time dependent quantum Monte Carlo
by: Christov, Ivan P.
Published: (2025)