Collaborative work on a simple python code for DMRG.
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Updated
Aug 12, 2015 - Python
Collaborative work on a simple python code for DMRG.
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Variational Quantum Eigensolver with Fewer Qubits
LuaTeX extension for graphical tensor notation
DMRG using Matrix Product States in Julia
Code for the article "Quantum Machine Learning Tensor Network States"
Matrix-Product-States algorithms in Julia
Implementation of a Quantum Fourier Transform on quantum circuit with qiskit and cirq and on Matrix Product States with quimb and personal implementation
Tensor Train decomposition on TensorFlow
A Tensor Network package for Machine Learning and Quantum Computing in Python.
Time evolution algorithms for matrix-product states based on ITensors.jl
Tensor network package
LuaTeX extension for graphical tensor notation
Manipulate quantum states in the Tensor Train format
This repo contains an implementation of the Simple-Update Tensor Network algorithm as described in the paper - A universal tensor network algorithm for any infinite lattice by Saeed S. Jahromi and Roman Orus.
This is a repository containing julia codes for MPS/MPDO based tensor network for many body problems (Ground State properties, Time evolution, and Thermal properties).
Gradient Descent Optimization of MPS for Ground State Finding
A library for easy and efficient manipulation of tensor networks.
C++17 toolkit to study the static properties of discrete quantum systems.
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