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@@ -65,7 +65,7 @@ QuantumToolbox.jl is equipped with a robust set of features:
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-**Quantum State and Operator Manipulation:** Easily handle quantum states and operators with a rich set of tools, with the same functionalities as QuTiP.
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-**Dynamical Evolution:** Advanced solvers for time evolution of quantum systems, thanks to the powerful [DifferentialEquations.jl](https://github.com/SciML/DifferentialEquations.jl) package.
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-**GPU Computing:** Leverage GPU resources for high-performance computing. For example, you run the master equation directly on the GPU with the same syntax as the CPU case.
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-**GPU Computing:** Leverage GPU resources for high-performance computing. Simulate quantum dynamics directly on the GPU with the same syntax as the CPU case.
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-**Distributed Computing:** Distribute the computation over multiple nodes (e.g., a cluster). For example, you can run hundreds of quantum trajectories in parallel on a cluster, with, again, the same syntax as the simple case.
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-**Easy Extension:** Easily extend the package, taking advantage of the Julia language features, like multiple dispatch and metaprogramming.
details: Distribute the computation over multiple nodes (e.g., a cluster). Simulate undreds of quantum trajectories in parallel on a cluster, with, again, the same syntax as the simple case.
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details: 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.
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