ReqRoute: Protocolo de Roteamento por Reforço para Redes de Entrelaçamento Quântico
Resumo
A Internet Quântica tem como objetivo possibilitar a comunicação quântica entre múltiplos pontos da rede, oferecendo aplicações como a distribuição quântica de chaves (QKD), computação quântica distribuída e as redes de entrelaçamento. No entanto, a tecnologia de comunicação quântica atual apresenta desafios significativos, com baixas taxas de geração de entrelaçamento (pares EPR), capacidade de memória quântica limitada e taxas de decoerência que frequentemente resultam em pares EPR inutilizáveis devido à baixa fidelidade. Isso representa um desafio significativo para tarefas como o roteamento. Neste artigo, é proposto o ReqRoute, um protocolo baseado em aprendizado por reforço para otimizar as decisões de roteamento em redes de entrelaçamento quântico. Demonstrou-se que o ReqRoute supera consistentemente métodos tradicionais, mantendo rotas de maior fidelidade em diversos cenários de configuração de rede.Referências
Abelém, A., Vardoyan, G., and Towsley, D. (2020). Quantum internet: The future of internetworking. In Minicursos do XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, pages 48–90. SBC.
Abreu, D., Abelém, A., and Rothenberg, C. R. E. (2022). Desafios e oportunidades de pesquisa para o roteamento em redes quânticas. In Anais do II Workshop de Comunicação e Computação Quântica, pages 37–42. SBC.
Broadbent, A., Fitzsimons, J., and Kashefi, E. (2009). Universal blind quantum computation. In 2009 50th annual IEEE symposium on foundations of computer science.
Caleffi, M., Amoretti, M., Ferrari, D., Cuomo, D., Illiano, J., Manzalini, A., and Cacciapuoti, A. S. (2022). Distributed quantum computing: a survey. arXiv preprint arXiv:2212.10609.
Chakraborty, K., Rozpedek, F., Dahlberg, A., and Wehner, S. (2019). Distributed routing in a quantum internet. arXiv preprint arXiv:1907.11630.
Cuomo, D., Caleffi, M., and Cacciapuoti, A. S. (2020). Towards a distributed quantum computing ecosystem. IET Quantum Communication, 1(1):3–8.
Degen, C. L., Reinhard, F., and Cappellaro, P. (2017). Quantum sensing. Reviews of modern physics, 89(3):035002.
Fischer, A. and Towsley, D. (2021). Distributing graph states across quantum networks. In 2021 IEEE International Conference on Quantum Computing and Engineering (QCE).
Geddada, V. J. and Lakshmi, P. (2022). Distance based security using quantum entanglement: a survey. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–4. IEEE.
Gyongyosi, L. and Imre, S. (2018). Decentralized base-graph routing for the quantum internet. Physical Review A, 98(2):022310.
Gyongyosi, L. and Imre, S. (2020). Routing space exploration for scalable routing in the quantum internet. Scientific reports, 10(1):11874.
Gyongyosi, L., Imre, S., and Nguyen, H. V. (2018). A survey on quantum channel capacities. IEEE Communications Surveys & Tutorials, 20(2):1149–1205.
Hasan, S. R., Chowdhury, M. Z., Saiam, M., and Jang, Y. M. (2023). Quantum communication systems: vision, protocols, applications, and challenges. IEEE Access.
Illiano, J., Caleffi, M., Manzalini, A., and Cacciapuoti, A. S. (2022). Quantum internet protocol stack: A comprehensive survey. Computer Networks, 213:109092.
Kozlowski, W., Wehner, S., Van Meter, R., Rijsman, B., Cacciapuoti, A., Caleffi, M., and Nagayama, S. (2023). Rfc 9340 architectural principles for a quantum internet. Architecture, 4:4.
Kumar, A., Krishnamurthi, R., Sharma, G., Jain, S., Srikanth, P., Sharma, K., and Aneja, N. (2023). Revolutionizing modern networks: Advances in ai, machine learning, and blockchain for quantum satellites and uav-based communication. arXiv preprint arXiv:2303.11753.
Kumar, A., Zhou, A., Tucker, G., and Levine, S. (2020). Conservative q-learning for offline reinforcement learning. Advances in Neural Information Processing Systems.
Le, L. and Nguyen, T. N. (2022). Dqra: Deep quantum routing agent for entanglement routing in quantum networks. IEEE Transactions on Quantum Engineering, 3:1–12.
Li, C., Li, T., Liu, Y.-X., and Cappellaro, P. (2021). Effective routing design for remote entanglement generation on quantum networks. npj Quantum Information, 7(10).
Miguel-Ramiro, J., Pirker, A., and Dür, W. (2023). Optimized quantum networks. Quantum, 7:919.
Nain, P., Vardoyan, G., Guha, S., and Towsley, D. (2020). On the analysis of a multipartite entanglement distribution switch. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(2):1–39.
Nötzel, J. and DiAdamo, S. (2020). Entanglement-enhanced communication networks. In 2020 IEEE International Conference on Quantum Computing and Engineering (QCE).
Pant, M., Krovi, H., Towsley, D., Tassiulas, L., Jiang, L., Basu, P., Englund, D., and Guha, S. (2019). Routing entanglement in the quantum internet. npj Quantum Information.
Patil, A., Jacobson, J. I., Van Milligen, E., Towsley, D., and Guha, S. (2021). Distance-independent entanglement generation in a quantum network using space-time multiplexed greenberger–horne–zeilinger (ghz) measurements. In 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pages 334–345. IEEE.
Patil, A., Pant, M., Englund, D., Towsley, D., and Guha, S. (2022). Entanglement generation in a quantum network at distance-independent rate. npj Quantum Information.
Pirker, A. and Dür, W. (2019). A quantum network stack and protocols for reliable entanglement-based networks. New Journal of Physics, 21(3):033003.
Qiang, W. and Zhongli, Z. (2011). Reinforcement learning model, algorithms and its application. In 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), pages 1143–1146. IEEE.
Van Meter, R., Satoh, T., Ladd, T. D., Munro, W. J., and Nemoto, K. (2013). Path selection for quantum repeater networks. Networking Science, 3(1):82–95.
Abreu, D., Abelém, A., and Rothenberg, C. R. E. (2022). Desafios e oportunidades de pesquisa para o roteamento em redes quânticas. In Anais do II Workshop de Comunicação e Computação Quântica, pages 37–42. SBC.
Broadbent, A., Fitzsimons, J., and Kashefi, E. (2009). Universal blind quantum computation. In 2009 50th annual IEEE symposium on foundations of computer science.
Caleffi, M., Amoretti, M., Ferrari, D., Cuomo, D., Illiano, J., Manzalini, A., and Cacciapuoti, A. S. (2022). Distributed quantum computing: a survey. arXiv preprint arXiv:2212.10609.
Chakraborty, K., Rozpedek, F., Dahlberg, A., and Wehner, S. (2019). Distributed routing in a quantum internet. arXiv preprint arXiv:1907.11630.
Cuomo, D., Caleffi, M., and Cacciapuoti, A. S. (2020). Towards a distributed quantum computing ecosystem. IET Quantum Communication, 1(1):3–8.
Degen, C. L., Reinhard, F., and Cappellaro, P. (2017). Quantum sensing. Reviews of modern physics, 89(3):035002.
Fischer, A. and Towsley, D. (2021). Distributing graph states across quantum networks. In 2021 IEEE International Conference on Quantum Computing and Engineering (QCE).
Geddada, V. J. and Lakshmi, P. (2022). Distance based security using quantum entanglement: a survey. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–4. IEEE.
Gyongyosi, L. and Imre, S. (2018). Decentralized base-graph routing for the quantum internet. Physical Review A, 98(2):022310.
Gyongyosi, L. and Imre, S. (2020). Routing space exploration for scalable routing in the quantum internet. Scientific reports, 10(1):11874.
Gyongyosi, L., Imre, S., and Nguyen, H. V. (2018). A survey on quantum channel capacities. IEEE Communications Surveys & Tutorials, 20(2):1149–1205.
Hasan, S. R., Chowdhury, M. Z., Saiam, M., and Jang, Y. M. (2023). Quantum communication systems: vision, protocols, applications, and challenges. IEEE Access.
Illiano, J., Caleffi, M., Manzalini, A., and Cacciapuoti, A. S. (2022). Quantum internet protocol stack: A comprehensive survey. Computer Networks, 213:109092.
Kozlowski, W., Wehner, S., Van Meter, R., Rijsman, B., Cacciapuoti, A., Caleffi, M., and Nagayama, S. (2023). Rfc 9340 architectural principles for a quantum internet. Architecture, 4:4.
Kumar, A., Krishnamurthi, R., Sharma, G., Jain, S., Srikanth, P., Sharma, K., and Aneja, N. (2023). Revolutionizing modern networks: Advances in ai, machine learning, and blockchain for quantum satellites and uav-based communication. arXiv preprint arXiv:2303.11753.
Kumar, A., Zhou, A., Tucker, G., and Levine, S. (2020). Conservative q-learning for offline reinforcement learning. Advances in Neural Information Processing Systems.
Le, L. and Nguyen, T. N. (2022). Dqra: Deep quantum routing agent for entanglement routing in quantum networks. IEEE Transactions on Quantum Engineering, 3:1–12.
Li, C., Li, T., Liu, Y.-X., and Cappellaro, P. (2021). Effective routing design for remote entanglement generation on quantum networks. npj Quantum Information, 7(10).
Miguel-Ramiro, J., Pirker, A., and Dür, W. (2023). Optimized quantum networks. Quantum, 7:919.
Nain, P., Vardoyan, G., Guha, S., and Towsley, D. (2020). On the analysis of a multipartite entanglement distribution switch. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 4(2):1–39.
Nötzel, J. and DiAdamo, S. (2020). Entanglement-enhanced communication networks. In 2020 IEEE International Conference on Quantum Computing and Engineering (QCE).
Pant, M., Krovi, H., Towsley, D., Tassiulas, L., Jiang, L., Basu, P., Englund, D., and Guha, S. (2019). Routing entanglement in the quantum internet. npj Quantum Information.
Patil, A., Jacobson, J. I., Van Milligen, E., Towsley, D., and Guha, S. (2021). Distance-independent entanglement generation in a quantum network using space-time multiplexed greenberger–horne–zeilinger (ghz) measurements. In 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), pages 334–345. IEEE.
Patil, A., Pant, M., Englund, D., Towsley, D., and Guha, S. (2022). Entanglement generation in a quantum network at distance-independent rate. npj Quantum Information.
Pirker, A. and Dür, W. (2019). A quantum network stack and protocols for reliable entanglement-based networks. New Journal of Physics, 21(3):033003.
Qiang, W. and Zhongli, Z. (2011). Reinforcement learning model, algorithms and its application. In 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), pages 1143–1146. IEEE.
Van Meter, R., Satoh, T., Ladd, T. D., Munro, W. J., and Nemoto, K. (2013). Path selection for quantum repeater networks. Networking Science, 3(1):82–95.
Publicado
20/05/2024
Como Citar
ABREU, Diego; PIMENTEL, Arthur; ABELÉM, Antônio.
ReqRoute: Protocolo de Roteamento por Reforço para Redes de Entrelaçamento Quântico. In: SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 42. , 2024, Niterói/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 630-643.
ISSN 2177-9384.
DOI: https://doi.org/10.5753/sbrc.2024.1450.