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Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl

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OpenTN [WIP]

openTN

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.

Structure

├── 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

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Code for my master thesis at the Scientific Computing chair @ TUM under the supervision of Prof. Christian Mendl

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