Distributed quantum memory using NV centers

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Abstract

There are still great hurdles to overcome in the construction of a practical quantum computer. Most significantly, there is still great need for less noisy operation devices and the ability to scale the computer into hundreds or thousands of qubits. In this work we study a approach to construct a practical quantum computer which is fundamentally scalable. We consider Nitrogen
vacancy centers as nodes in a quantum network to model a distributed surface code. The analysis consists first in a study of how the surface code can be implemented over a quantum network and which error models we consider to get a realistic representation of the system. Thereafter, we calculate the error thresholds through the parameters of the most significant error sources in
order to determine the code effectiveness. After the initial implementation we explore further designs which by utilizing additional resources in the network aim to reduce the impact of noise in the system. The results show a considerable improvement over the initial implementation and provide some insights into further developments that could produce better results.

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