Utilizing Quantum Network Simulators to Develop Methods of Quantum Network Tomography
POSTER
Abstract
With recent developments in quantum computing, focus has begun to shift toward connecting quantum computers into networks. In classical computer networks, the quality of a given network is assessed using network tomography, however, an equivalent has not yet been developed for a quantum network. In order to address this need, we investigate how to assess the quality of a network by developing quantum network tomography protocols through the use of quantum simulators. Quantum network simulators provide complete network customization, allowing us to alter parameters of the network such as error rates and network topologies in order to identify characteristics of network errors. We present simulation results showing how to identify and characterize error within a quantum network. Particularly, our results indicate that it is possible to characterize common Pauli errors such as bit flips and phase flips within a network through the use of specific entangled states and user-node measurements.
Presenters
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Jake Navas
Northern Arizona University
Authors
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Jake Navas
Northern Arizona University
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Jaime A Diaz
Northern Arizona University
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Matheus Guedes de Andrade
University of Massachusetts Amherst
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M. Jaden Brewer
Northern Arizona University
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Noah H Johnson
Northern Arizona University
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Michael G Raymer
University of Oregon
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Don Towsley
University of Massachusetts Amherst
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Inès Montaño
Northern Arizona U., Northern Arizona University