Alternatives and similar repositories for dmrg-exact:

Users that are interested in dmrg-exact are comparing it to the libraries listed below

• ranshiju / BayesianTN
  Bayesian tensor network
  ☆20Updated 5 years ago
• BrianCoyle / IsingBornMachine
  Implementation of Quantum Ising Born Machine
  ☆19Updated 4 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 3 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆56Updated last year
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 7 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆37Updated 4 years ago
• kafischer / neural-quantum-states
  Numerically represent quantum states with Restricted Boltzmann Machines
  ☆25Updated 6 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆32Updated 2 years ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago
• eperrier / quant-geom-machine-learning
  ☆23Updated 2 years ago
• icme / cme250Q-quantum-computing
  CME250Q: Introduction to quantum computing and quantum algorithms
  ☆15Updated 5 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 7 years ago
• ikim-quantum / dmera
  Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
  ☆15Updated 4 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆18Updated 9 months ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆22Updated last year
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆28Updated 3 weeks ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆43Updated 5 years ago
• marekrams / tnac4o
  Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.
  ☆11Updated 3 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆28Updated 5 years ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆59Updated 7 months ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 2 years ago
• hongyehu / SBRG
  Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordere…
  ☆11Updated 4 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆79Updated 5 years ago
• qi-rub / pyfermions
  Rigorous free fermion entanglement renormalization from wavelet theory
  ☆17Updated last year
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 5 years ago
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆29Updated 4 years ago
• sylvialee12 / SelfLearning-MonteCarlo
  ☆18Updated 7 years ago
• HendrikPN / scigym
  SciGym: A curated library of scientific reinforcement learning environments.
  ☆15Updated 3 years ago