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Quantum Information Processing

Opportunistic quantum network coding based on quantum teleportation

Tao Shang, Gang Du, Jianwei Liu

Published Dec 28, 2015• 10 citations
Publisher
DOI
10.1007/s11128-015-1219-2

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It seems impossible to endow opportunistic characteristic to quantum network on the basis that quantum channel cannot be overheard without disturbance. We propose an opportunistic quantum network coding scheme by taking full advantage of channel characteristic of quantum teleportation. On one hand, it utilizes quantum channel for the secure transmission of quantum states and can detect eavesdroppers by means of quantum channel verification. On the other hand, it utilizes classical channel for opportunistic listening and can acquire coding opportunity from neighbors. Analysis results show that our scheme can reduce the times of transmissions for relay nodes and can effectively defend against classical passive attack and quantum active attack.
The conventional quantum teleportation schemes enable high-security network communications by establishing end-to-end entangled paths. However, those schemes focus on time synchronization and thus cause lots of idle time. Recent research suggests adopting an opportunistic scheme to forward data qubits as far as it can. However, this scheme lacks security since data qubits may be stored at malicious repeaters, which may peek at, destroy, or fake the data qubits. To this end, we design a new scheme called SOAR that considers trusted repeaters via social networks. Moreover, SOAR promotes the parallelism of swapping processes and thus leads to a less idle time of network resources than the other existing schemes. Furthermore, we design an algorithm called SAGE that can best fit SOAR by linking multiple subpaths via appropriate trusted repeaters to get an ideal path and augmenting least-hop paths to utilize the resources in quantum networks better. Simulation results manifest that SOAR outperforms the other schemes by 54%-89%; SAGE outperforms the other routing algorithms by 50% on average on SOAR.