Tensor network based quantum software framework for the NISQ era
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Updated
Jun 13, 2024 - Python
Tensor network based quantum software framework for the NISQ era
Pytorch differentiable molecular dynamics
QuGIT is a numerical toolbox in Python for simulation of gaussian quantum states and their time evolution through unconditional and conditional dynamics
A tool to model the bath relaxation dynamics of open quantum systems by Lindblad and Hierarchical Equations of Motion (HEOM) approaches.
This is a package developed in the Mesoscience Lab to perform Hierarchy of Pure State (HOPS) calculations using an adaptive basis that provides size-invariant scaling for large systems.
Projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics.
A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
Gutzwiller state for the Bose-Hubbard model, with complex and site-dependent coefficients
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"
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
Website of the (Molecular) Quantum Dynamics Lab at Haverford College
Practical session for the Quantum Dynamics course of the "Atomistic and Multiscale Computational Modelling" Master Degree. Course 2022-2023.
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