A Python package for numerical quantum transport calculations, designed to be flexible and easy to use for simulating transport in nanoscale systems.
kwant
- Python
- Electrical and Electronics, Materials, Mathematics, Nanotechnologies, Physics, Simulation
- Computational Fluid Dynamics (CFD), Materials, Physics, Quantum Error Correction, Simulation
Features:
- Quantum transport simulation,tight-binding models,scattering problems (S-matrix,conductance),spin transport,superconductivity,topological insulators,wave function plotting,integration with external solvers (MUMPS),Pythonic system definition,efficient numerical solvers
Pricing:
- Free
- Powerful and flexible for quantum transport simulations, user-friendly API for defining complex systems, good performance due to optimized solvers and use of libraries like MUMPS, excellent documentation and tutorials, active community.
- Niche focus on quantum transport in condensed matter physics, requires understanding of quantum mechanics and tight-binding models, setting up complex systems or custom Hamiltonians can be involved.
Best for:
- Physicists and materials scientists simulating quantum transport phenomena in nanoscale systems, such as quantum wires, dots, and topological materials.