2022 IEEE International Conference on Quantum Computing and Engineering (QCE) 2022
DOI: 10.1109/qce53715.2022.00056
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QuISP: a Quantum Internet Simulation Package

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Cited by 23 publications
(5 citation statements)
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“…the error propagates along the swapping route. All these considerations would require a more refined physical model, which would in turn imply revisions to our mathematical framework, but should not be excessively difficult to include in the numerical part of our discussion: the simulator code was written from the ground up in order to provide a simpler and more agile contribution, but it was designed with particular attention to keeping a layered and modular structure that should be reasonably adaptable to well-established quantum network simulation packages such as NetSquid [47] or QuISP [48].…”
Section: Limitations Of the Framework And Future Outlookmentioning
confidence: 99%
“…the error propagates along the swapping route. All these considerations would require a more refined physical model, which would in turn imply revisions to our mathematical framework, but should not be excessively difficult to include in the numerical part of our discussion: the simulator code was written from the ground up in order to provide a simpler and more agile contribution, but it was designed with particular attention to keeping a layered and modular structure that should be reasonably adaptable to well-established quantum network simulation packages such as NetSquid [47] or QuISP [48].…”
Section: Limitations Of the Framework And Future Outlookmentioning
confidence: 99%
“…The research community has developed several approaches to quantum network architecture and protocol design [22], [24], [25] as well as quantum network simulators to implement and evaluate them, such as QuISP [46], SeQUeNCe [25], and NetSquid [47]. However, the simulators do not share any tooling nor a common node architecture, which has resulted in protocol implementations that are tightly coupled to their simulators.…”
Section: Heralding Stationmentioning
confidence: 99%
“…Our design and assumptions of the error propagation follow those in Ref. [53], which tracks information about whether a qubit has been affected by a Pauli Z and/or X error along with a time stamp when it was initiated. We now summarize the error sources which contribute towards the degradation of the fidelity of the end-to-end entangled state.…”
Section: Error Models and Assumptionsmentioning
confidence: 99%
“…To simulate the complex behavior of the quantum network, time delay and resource management, we use SimPy, the discrete-event simulation package written in Python. For noise simulation, as large quantum systems needed to be simulated, similarly to Stabilizer formalism, we use error-basis model [53] which collects only the information about the noise of each qubit thus allow us to efficiently simulate the system. Although this is not the representation of a quantum state, the choice is preferred as it is relatively easier to implement and the information of the noise is enough to be used for the fidelity discussed in Section 2.3.…”
Section: Appendix a Fidelity Derivationmentioning
confidence: 99%