Tensor network based quantum software framework for the NISQ era
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Updated
Jun 10, 2024 - Python
Tensor network based quantum software framework for the NISQ era
A Python 3 package to efficiently compute non-Markovian open quantum systems.
Tensor network simulations for finite temperature, open quantum system dynamics
An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems
Quantum Toolbox in Julia
Open Quantum System Theory for Molecular Systems
Quantum Electronics Design Automation - The RTL of Quantum Computing
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
Library for the numerical simulation of open quantum systems.
Worksheets for the module Open Quanum Systems, part of the MSc Quantum Science and Technology at Trinity College Dublin.
Open quantum system dynamics using process tensor networks and iTEBD.
Mathematica notebook for studying the wetting critical behavior within the Lindblad dissipative dynamics by C. Artiaco, A. Nava, and M. Fabrizio - https://arxiv.org/abs/2206.11662
The first and the only dataset in the field of Quantum Dissipative Dynamics
Speeding up quantum dissipative dynamics of open systems with kernel methods
Solutions (code + plots) for the numerical problem sheets of the course Open Quantum Systems (Universität Ulm)
Script for data generation and Code for our article "Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics"
Package that defines commonly used spectral densities for Open Quantum Systems.
Collection of useful functions and types for the simulation of Quantum systems
Code and data for our paper in JPCL "One-Shot Trajectory Learning of Open Quantum Systems Dynamics" https://doi.org/10.1021/acs.jpclett.2c01242
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