QuTiP: Quantum Toolbox in Python
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Updated
Aug 27, 2024 - Python
QuTiP: Quantum Toolbox in Python
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.
Object-oriented Python library for computation of properties of highly-excited Rydbeg states of alkali and divalent atoms.
A differentiable bridge between phase space and Fock space
FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.
A Python package for solving the coupled Maxwell-Bloch equations describing the nonlinear propagation of near-resonant light through thermal quantised systems such as atomic vapours.
A plugin for Strawberry Fields and OpenFermion, providing methods of simulating bosonic Hamiltonians directly in Strawberry Fields
QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and conditional dynamics
Library for fast computations involving indistinguishable bosons
This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".
This repository contains the source code used to produce the results presented in the paper "Simulating realistic non-Gaussian state preparation".
Rydberg Sensor Interactive Quantum Physics Module
Inverse Quantum-Optical Design of High-Dimensional Qudits
Benchmarks for popular Quantum Optics frameworks
Implementation of a quantum neural network using Strawberry Fields and TensorFlow
A neural network to classify quantum states of light
Easy to use Schrödinger equation solver
A small package for numerical simulation of quantum systems. Created as an alternative to qutip due to code generation limitations in the latter. It was an amusing experiment in code generation, but now Tensorflow and Theano support complex sparse matrices, so you can just use them with a bit of a wrapper. Or QuantumOptics.jl in Julia.
Linear Optical Circuits Optimisation using Perceval Quandela and Variational Algorithm (VQE)- MIT iQuHack- Quantum Computing Project
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