Gabs.jl is a numerical tooling package for simulating Gaussian quantum information.
Gaussian states and operators have the convenient property that they can be characterized by low-dimensional matrices in the phase space representation. Thus, a large class of continuous variable quantum information can be efficiently simulated on a classical computer, lending to applications in quantum cryptography, quantum machine learning, integrated quantum photonics, and more. Gabs.jl provides a high-level Julia interface for straightforward and high performance implementations of Gaussian quantum systems.