2026-10-15T12:57:44Z https://data.mendeley.com/oai

oai:data.mendeley.com/tp4s84yc5d.1 2022-08-11T18:00:19Z

Ballantyne, John QuGIT: A numerical toolbox for Gaussian quantum states Mendeley Data Simulating quantum states on a classical computer is hard, typically requiring prohibitive resources in terms of memory and computational power. Efficient simulation, however, can be achieved for certain classes of quantum states, in particular the so-called Gaussian quantum states of continuous variable systems. In this work we introduce QuGIT - a python numerical toolbox based on symplectic methods specialized in efficiently simulating multimode Gaussian states and operations. QuGIT is exact, requiring no truncation of Hilbert space, and provides a wide range of Gaussian operations on arbitrary Gaussian states, including unitaries, partial traces, tensor products, general-dyne measurements, conditional and unconditional dynamics. To illustrate the toolbox, several examples of usage relevant to quantum optics and optomechanics are described. Computational Physics Quantum Optics Quantum Dynamics Brandão, I. Tandeitnik, D. Guerreiro, T. Dataset doi:10.17632/tp4s84yc5d.1 oai:data.mendeley.com/tp4s84yc5d.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/tp4s84yc5d 2022-08-11T18:00:19Z