Introduction | QuantumToolbox.jl

Basic Operations on Quantum Objects
Time Evolution and Dynamics
A pure Julia framework designed for high-performance quantum physics simulations
Easily handle quantum states and operators with a rich set of tools, with the same functionalities as QuTiP.
Advanced solvers for time evolution of quantum systems, thanks to the powerful DifferentialEquations.jl package.
Leverage GPU resources for high-performance computing. Simulate quantum dynamics directly on the GPU with the same syntax as the CPU case.
Distribute the computation over multiple nodes (e.g., a cluster). Simulate hundreds of quantum trajectories in parallel on a cluster, with, again, the same syntax as the simple case.
Enable gradient-based optimization for quantum algorithms. Compute gradients of quantum dynamics with respect to their parameters using automatic differentiation.
Go beyond double precision when the physics demands it. Resolve exponentially small quantities like tunneling splittings and Liouvillian gaps that are lost in Float64 roundoff, with the same syntax.
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.
QuantumToolbox.jl requires Julia 1.10+.
To install QuantumToolbox.jl, run the following commands inside Julia's interactive session (also known as REPL):
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:
More 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
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)
DifferentialEquations.jl or OrdinaryDiffEq.jl
Distributed Computing support:
SlurmClusterManager.jl
Automatic Differentiation:
Arbitrary Precision:
Packages for other advanced usage:
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