Christian B. Mendl (cmendl)

cmendl

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Company:Technische Universität München

Location:Munich, Germany

Home Page:http://christian.mendl.net

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Christian B. Mendl's repositories

pytenet

Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, support for quantum numbers, ...

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hubbard-dqmc

Determinant quantum Monte Carlo applied to the Hubbard model

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LBM-classic

C implementation of the classical lattice Boltzmann method (LBM) using the D2Q9 and D3Q19 models

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tensor_networks

C implementation of tensor networks for quantum simulations: matrix product states and operators, time evolution (using Trotter splitting), ... Reference implementation for testing using Mathematica

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reinforcement-learning-course

Mini-course on reinforcement learning

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fermifab

FermiFab toolbox for fermionic many-particle quantum systems

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fermi_relations

Fermionic algebra relations

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inhom-quantum-boltzmann-fourier-matlab

Spatially inhomogeneous matrix-valued quantum Boltzmann equation using Fourier transformation (Matlab implementation)

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matrix-quantum-boltzmann-1D

Matrix-valued quantum Boltzmann equation for the nonintegrable Hubbard chain

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ternary_unitaries

Simulation and visualization of ternary unitary networks, implemented in Python/NumPy

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fluct-hydro-chains

Nonlinear fluctuating hydrodynamics for anharmonic chains

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hardpoint-systems

Molecular dynamics simulations of classical anharmonic hard-point particle chains

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irredLS

Irreducible angular momentum and spin eigenspaces on atomic subshells

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multigrid

Multigrid implementation using Matlab

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quantum-dot

Quantum dots in two dimensions and the "strictly correlated electrons" (SCE) framework

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quantum_game

Quantum game prototype

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Toda-domainwall

Mathematica code for "High-low pressure domain wall for the classical Toda lattice" with Herbert Spohn (https://arxiv.org/abs/2011.11008)

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diatomic

Electronic prolate spheroidal orbitals for diatomic molecules

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edgar-luescher-seminar-2023

Presentation at the Edgar-Lüscher-Seminar 2023 in Zwiesel

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inhom-quantum-boltzmann-fourier-c

Spatially inhomogeneous matrix-valued quantum Boltzmann equation using Fourier transformation (C implementation)

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netket

Machine learning algorithms for many-body quantum systems

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raytracing

Didactic ray tracing implementation using Python

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Raytracing.jl

Didactic ray tracing implementation using Julia

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tensornetwork.org

Source for The Tensor Network open-source review article

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