Machine learning algorithms for many-body quantum systems
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Updated
Jul 16, 2024 - Python
Machine learning algorithms for many-body quantum systems
Next generation FEniCS Form Compiler for finite element forms
UFL - Unified Form Language
A Python implementation of Monge optimal transportation
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Interface to run Diva software tool (spatial interpolation).
Parallel Data Assimilation Framework
Variational Osmosis for Non-Linear Image Fusion
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
Gutzwiller variational approach for the Bose-Hubbard model, with simulated-annealing optimization
A Python interface to parallel data assimilation framework - pyPDAF
Implementation of the Variational Method for Quantum Mechanics in python.
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
CFD solve on a current quantum computer
Advanced Data Assimilation Algorithms and Methods
Variational approximation by Gridap package to resolve T.I.S.E. in Julia
Weather routing via variational methods
Interactive visualisations for the variational polaron problem with Makie.
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
An analysis and speedup of the FALDOI method for Optical Flow estimation
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