A Julia library for efficient tensor computations and tensor network calculations
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Updated
Sep 9, 2024 - Julia
A Julia library for efficient tensor computations and tensor network calculations
Package for Simulation, Tomography and Analysis of Quantum Computers
Generic tensor networks for solution space properties.
Tensor network simulations for finite temperature, open quantum system dynamics
Time evolution algorithms for matrix-product states based on ITensors.jl
Tensor networks for quantum error correction.
Tensor network contraction order optimizers for OMEinsum
Composable Tensor Network library in Julia
Julia library for quantum circuit simulation using tensor networks
A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.
Dump a quantum circuit in Yao to a tensor network graphical model
A frontend for calculating dynamical correlation functions and related observables based on time evolution matrix-product states methods.
Julia rewrite of opt_einsum Python package
Variational Matrix Product Operator Monte Carlo
Matrix-Product-States algorithms in Julia
A Classical Simulation of the Quantum Game of Life
Tensor Trains, mostly as probability distributions
Load quantum circuits from OpenQASM files and simulate their result.
Julia package made for quasi-particle scattering simulations of one-dimensional uniform discrete quatum many-body systems using Tensor Network methods (MPS).
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