Speaker
Description
Through the use of our self-developed simulation algorithm, we developed a model predicting entanglement distribution between two end parties of a quantum network. The model stochastically simulates global and local clock systems with finite quantum memory parameters. The model allows for the tabulation of key generation rates for independently operating quantum repeaters in a distribution chain. Numerical simulations were developed stochastically, relating quantum memory (QM) efficiency to storage lifetimes. The results revealed the relationship between a QM lifetime and the amount of time needed for successful entanglement distribution between parties. The model is innovative and comprehensive, acting as a transformative resource for quantum network simulation.
| Keyword-1 | Entanglement distribution |
|---|---|
| Keyword-2 | Quantum Memories |