Employing Locally Purified Density Operator (LPDO) tensor networks to study open quantum systems under non-local CPTP maps.
Decreasing approximation errors from the trotterization of CPTP maps on the kraus dimensions. Using Riemannian optimization on Sitefel Manifold.
Methods: Tensor Networks, Automatic Differentiation, Convex Optimization, Riemannian Optimization, Open Quantum Systems.
├── experiments
│ ├── *ipynb notebooks with experiments to verify the theory and numerics*
├── opentn
│ ├── states
│ │ ├── __init__.py
│ │ ├── qubits.py
│ │ ├── qudits.py
│ ├── __init__.py
│ ├── channels.py
│ ├── circuits.py
│ ├── entanglement.py
│ ├── optimization.py
│ ├── stiefel.py
│ ├── transformations.py
│ ├── trust_region_rcopt.py
├── tests
│ ├── test_optimization.py
│ ├── test_transformations.py
├── .gitignore
└── README.md