Alternatives and similar repositories for quanta:

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

• tnbar / awesome-tensorial-neural-networks
  A thoroughly investigated survey for tensorial neural networks.
  ☆126Updated 2 months ago
• jolle-ag / qdx
  Quantum error correction code AI-discovery with Jax
  ☆28Updated 3 months ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆144Updated 11 months ago
• Lemon-cmd / energy-transformer-graph
  This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…
  ☆23Updated last year
• dynamiqs / dynamiqs
  High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
  ☆204Updated this week
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆102Updated 3 months ago
• locuslab / edge-of-stability
  ☆65Updated 3 months ago
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆37Updated 8 months ago
• YWolfeee / lapjax
  A JAX based package designed for efficient second order operators (e.g., laplacian) computation.
  ☆71Updated last year
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆72Updated last week
• zoq / Awesome-Optimizer
  Collect optimizer related papers, data, repositories
  ☆89Updated 4 months ago
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆60Updated last month
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆53Updated last week
• joserapa98 / tensorkrowch
  Smooth integration of tensor networks in machine learning
  ☆39Updated 2 weeks ago
• bytedance / LapNet
  Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
  ☆58Updated 3 months ago
• n-gao / pytorch-kfac
  Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/
  ☆23Updated 9 months ago
• xiaotai-yang / NQS_cmi
  Experiements on how conditional mutual information affects the performance of neural quantum states.
  ☆13Updated 4 months ago
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆60Updated last year
• refraction-ray / tensorcircuit
  Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…
  ☆28Updated 6 months ago
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆59Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆30Updated 4 months ago
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆50Updated 3 weeks ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆61Updated 2 weeks ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆28Updated 4 months ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆58Updated last year
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆34Updated 2 years ago
• sail-sg / autofd
  Automatic Functional Differentiation in JAX
  ☆66Updated 2 months ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆34Updated 2 years ago
• graphcore-research / pyscf-ipu
  PySCF on IPU
  ☆42Updated last year