
Dynamical Evolution
Advanced solvers for time evolution of quantum systems, thanks to the powerful DifferentialEquations.jl package.
A pure Julia framework designed for high-performance quantum physics simulations

QuantumToolbox.jl is a cutting-edge Julia package designed for quantum physics simulations, closely emulating the popular Python QuTiP package. It uniquely combines the simplicity and power of Julia with advanced features like GPU acceleration and distributed computing, making simulation of quantum systems more accessible and efficient. Taking advantage of the Julia language features (like multiple dispatch and metaprogramming), QuantumToolbox.jl is designed to be easily extendable, allowing users to build upon the existing functionalities.
With this package, moving from Python to Julia for quantum physics simulations has never been easier, due to the similar syntax and functionalities.
Requirements
QuantumToolbox.jl requires Julia 1.10+.
To install QuantumToolbox.jl, run the following commands inside Julia's interactive session (also known as REPL):
using Pkg
Pkg.add("QuantumToolbox")Alternatively, this can also be done in Julia's Pkg REPL by pressing the key ] in the REPL to use the package mode, and then type the following command:
(1.10) pkg> add QuantumToolboxMore information about Julia's package manager can be found at Pkg.jl.
To load the package and check the version information, use either QuantumToolbox.versioninfo() or QuantumToolbox.about(), namely
using QuantumToolbox
QuantumToolbox.versioninfo()
QuantumToolbox.about()In order to get a better experience and take full advantage of QuantumToolbox, we recommend the following external packages:
Standard Julia Libraries: (recommended to also using with QuantumToolbox.jl)
Solver algorithms:
GPU support:
Distributed Computing support:
Plotting Libraries:
Automatic Differentiation:
Progress Bars:
Packages for other advanced usage: