Alternatives and similar repositories for transformer_quantum_state:

Users that are interested in transformer_quantum_state are comparing it to the libraries listed below

• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆30Updated 4 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆34Updated 4 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆76Updated 9 months ago
• hongyehu / Hamiltonian-driven-shadow-tomography-page
  A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…
  ☆25Updated 3 years ago
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆37Updated 8 months ago
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• renatawong / classical-shadow-vqe
  Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules
  ☆12Updated last year
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 5 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• CHY-i / qecGPT
  Decoding Quantum Error Correction codes with Generative Pre-trained Transformers
  ☆36Updated 11 months ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆30Updated 2 years ago
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆27Updated last month
• mayhallgroup / adapt-vqe
  ADAPT-VQE simulation code
  ☆26Updated 5 months ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆61Updated 2 weeks ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆41Updated last year
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆14Updated 11 months ago
• hsinyuan-huang / learning-quantum-process
  Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
  ☆16Updated last year
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆71Updated 3 years ago
• idnm / cpflow
  Variational quantum circuit synthesis
  ☆12Updated 2 years ago
• henrik-dreyer / MPS-in-Qiskit
  Preparing Matrix Product State in Qiskit
  ☆28Updated last year
• BorjaRequena / VMC_introduction
  Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
  ☆17Updated 3 years ago
• bakerte / DMRJtensor.jl
  A general purpose tensor network library in the Julia programming language
  ☆44Updated this week
• varbench / varbench
  ☆45Updated 5 months ago
• mafaldaramoa / VQE
  VQE Dissertation Project
  ☆22Updated 5 months ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• EverettYou / MLRG
  Machine Learning Renormalization Group
  ☆19Updated last year
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆40Updated 5 years ago