Solutions (code + plots) for the numerical problem sheets of the course Open Quantum Systems (Universität Ulm)
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Updated
Feb 12, 2019 - Jupyter Notebook
Solutions (code + plots) for the numerical problem sheets of the course Open Quantum Systems (Universität Ulm)
Quantum Electronics Design Automation - The RTL of Quantum Computing
Speeding up quantum dissipative dynamics of open systems with kernel methods
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
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
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"
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
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.
The first and the only dataset in the field of Quantum Dissipative Dynamics
Collection of useful functions and types for the simulation of Quantum systems
Specifically showed that eigenvalue variations under a perturbation are not a good measure of the overall sensor performance near an Exceptional Point.
MLQD is a Python Package for Machine Learning-based Quantum Dissipative Dynamics
Open quantum system dynamics using process tensor networks and iTEBD.
utilizuies to manage bath correlation function and related quantities including fitting of multi-exponential representations in time domain
Open Quantum System Theory for Molecular Systems
Training repository for new PhD students in the Theoretical Chemistry Group at the University of Padova.
Project on studying Open Quantum System Models and simulating them using OQC Lucy Hardware.
Floquet real-time renormalization group implemention in python for the single channel Kondo model
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