A Tensor Network package for Machine Learning and Quantum Computing in Python.
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Updated
Mar 20, 2022 - Python
A Tensor Network package for Machine Learning and Quantum Computing in Python.
Gradient Descent Optimization of MPS for Ground State Finding
Manipulate quantum states in the Tensor Train format
Code for the article "Quantum Machine Learning Tensor Network States"
Tensor network package
C++17 toolkit to study the static properties of discrete quantum systems.
A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.
Tensor Trains, mostly thought of as probability distributions
Open quantum system dynamics using process tensor networks and iTEBD.
LuaTeX extension for graphical tensor notation
Matrix-Product-States algorithms in Julia
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).
Collaborative work on a simple python code for DMRG.
Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.
Implementation of a Quantum Fourier Transform on quantum circuit with qiskit and cirq and on Matrix Product States with quimb and personal implementation
Discrete optimization in the tensor-network (specifically, MPS-MPO) language.
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.
A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
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