physics meets neural networks
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Updated
Nov 23, 2018 - Jupyter Notebook
physics meets neural networks
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
An intuitive programming package for simulating and analyzing Clifford circuits, quantum measurement, and stabilizer states with applications to many-body localization, classical shadows, quantum chemistry and error correction code.
Tensor network simulations for finite temperature, open quantum system dynamics
DMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various Density Functional Theory packages
Quantum Toolbox in Julia
Computational graph representation of multiloop Feynman diagrams
An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems
Interacting Quantum Impurity Solver Toolkit
Numerical Effective Field Theory for Quantum Materials
Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure problems.
A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonalization and variational Monte Carlo software
A Full-Fledged Analytic Continuation Toolkit in Julia
Quantum many body simulations in the Pauli strings representation
Calculate many-body states of an impurity Anderson model and spectra (e.g. XPS, XAS, RIXS, NIXS)
Compact Spectral Representation for Imaginary-time/Matsubara-frequency Green's Functions
A quantum operator algebra domain-specific language and exact diagonalization toolkit for C++11/14/17
Coupled Cluster for solids. Mirror of https://gitlab.cc4s.org/cc4s/cc4s
Modules in Matlab to implement the Numerical Renormalization Group technique.
Reduced basis methods for parametrised eigenproblems
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