Systematic Review: Integrating Neural Networks and Quantum Computing using Qiskit
Resumo
Este estudo propõe uma revisão sistemática que analisa as aplicações e as perspectivas futuras da integração de redes neurais com computação quântica, com um foco especial no uso de um dos frameworks mais utilizados na literatura, o Qiskit. Ao explorar como o Qiskit é utilizado para potencializar essas integrações, esperamos proporcionar uma compreensão mais detalhada das capacidades emergentes e dos desafios enfrentados pelos pesquisadores na área. O estudo destaca resultados importantes para identificar os avanços atuais e futuros nestes campos.
Palavras-chave:
Computação quântica, Redes neurais, Framework Qiskit, Aprendizado de máquina, Redes neurais quânticas, Aprendizado de máquina quântico
Referências
Acar, E. and Yilmaz, İ. (2020). Covid-19 detection on ibm quantum computer with classical-quantum transfer learning. medRxiv.
Chen, H.-Y., Chang, Y.-J., Liao, S.-W., and Chang, C.-R. (2024). Deep-q learning with hybrid quantum neural network on solving maze problems. Quantum Machine Intelligence, 6(2):1–8.
IBM (2023). Qiskit. Disponível em: [link]. Acesso em: 03 de julho 2023.
Jiang, W., Xiong, J., and Shi, Y. (2021). When machine learning meets quantum computers: A case study. In Proceedings of the 26th Asia and South Pacific Design Automation Conference, ASPDAC ’21. ACM.
Kumar, S., Dangwal, S., Adhikary, S., and Bhowmik, D. (2021). A quantum activation function for neural networks: Proposal and implementation. In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN), pages 1–8. IEEE.
Maurya, S., Mude, C. N., Oliver, W. D., Lienhard, B., and Tannu, S. (2023). Scaling qubit readout with hardware efficient machine learning architectures. In Proceedings of the 50th Annual International Symposium on Computer Architecture, ISCA ’23, pages 1–13. ACM.
Nielsen, M. A. and Chuang, I. L. (2000). Quantum Computation and Quantum Information. Cambridge University Press.
Patel, H., Kamthekar, S., Prajapati, D., and Agarwal, R. (2024). Quantum inspired image classification: A hybrid svm framework. In Proceedings of the 2024 International Conference on Emerging Smart Computing and Informatics (ESCI), pages 1–7. IEEE.
Rahman, M. A., Shahriar, H., Clincy, V., Hossain, M. F., and Rahman, M. (2023). A quantum generative adversarial network-based intrusion detection system. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1810–1815. IEEE.
Shahwar, T., Zafar, J., Almogren, A., Zafar, H., Rehman, A. U., Shafiq, M., and Hamam, H. (2022). Automated detection of alzheimer’s via hybrid classical quantum neural networks. Electronics, 11(5).
Chen, H.-Y., Chang, Y.-J., Liao, S.-W., and Chang, C.-R. (2024). Deep-q learning with hybrid quantum neural network on solving maze problems. Quantum Machine Intelligence, 6(2):1–8.
IBM (2023). Qiskit. Disponível em: [link]. Acesso em: 03 de julho 2023.
Jiang, W., Xiong, J., and Shi, Y. (2021). When machine learning meets quantum computers: A case study. In Proceedings of the 26th Asia and South Pacific Design Automation Conference, ASPDAC ’21. ACM.
Kumar, S., Dangwal, S., Adhikary, S., and Bhowmik, D. (2021). A quantum activation function for neural networks: Proposal and implementation. In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN), pages 1–8. IEEE.
Maurya, S., Mude, C. N., Oliver, W. D., Lienhard, B., and Tannu, S. (2023). Scaling qubit readout with hardware efficient machine learning architectures. In Proceedings of the 50th Annual International Symposium on Computer Architecture, ISCA ’23, pages 1–13. ACM.
Nielsen, M. A. and Chuang, I. L. (2000). Quantum Computation and Quantum Information. Cambridge University Press.
Patel, H., Kamthekar, S., Prajapati, D., and Agarwal, R. (2024). Quantum inspired image classification: A hybrid svm framework. In Proceedings of the 2024 International Conference on Emerging Smart Computing and Informatics (ESCI), pages 1–7. IEEE.
Rahman, M. A., Shahriar, H., Clincy, V., Hossain, M. F., and Rahman, M. (2023). A quantum generative adversarial network-based intrusion detection system. In 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1810–1815. IEEE.
Shahwar, T., Zafar, J., Almogren, A., Zafar, H., Rehman, A. U., Shafiq, M., and Hamam, H. (2022). Automated detection of alzheimer’s via hybrid classical quantum neural networks. Electronics, 11(5).
Publicado
17/11/2024
Como Citar
SCHONHOFEN, Larissa; BOTELHO, Cecília; LUCCA, Giancarlo; YAMIN, Adenauer; SANTOS, Helida; REISER, Renata.
Systematic Review: Integrating Neural Networks and Quantum Computing using Qiskit. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 21. , 2024, Belém/PA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 870-881.
ISSN 2763-9061.
DOI: https://doi.org/10.5753/eniac.2024.245111.
