An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation

Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque. An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation. In Stephen L. Smith 0002, João Correia 0005, Christian Cintrano, editors, Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II. Volume 14635 of Lecture Notes in Computer Science, pages 240-255, Springer, 2024. [doi]

@inproceedings{DahiCL24,
  title = {An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation},
  author = {Zakaria Abdelmoiz Dahi and Francisco Chicano and Gabriel Luque},
  year = {2024},
  doi = {10.1007/978-3-031-56855-8_15},
  url = {https://doi.org/10.1007/978-3-031-56855-8_15},
  researchr = {https://researchr.org/publication/DahiCL24},
  cites = {0},
  citedby = {0},
  pages = {240-255},
  booktitle = {Applications of Evolutionary Computation - 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings, Part II},
  editor = {Stephen L. Smith 0002 and João Correia 0005 and Christian Cintrano},
  volume = {14635},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-56855-8},
}