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Improving Quantum Multi-Objective Optimization with Archiving and Substitution2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig, Hao Wang, Thomas Bäck, Sebastian Schmitt
0citations -
Improving Quantum Multi-Objective Optimization with Archiving and Substitution2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig, Hao Wang, Thomas Bäck, Sebastian Schmitt
0citations -
End-to-end resource analysis for quantum interior point methods and portfolio optimization2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more
3citations -
Reinforcement learning for optimization of variational quantum circuit architectures2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
50citations -
Quantum Algorithms: A Survey of Applications and End-to-end Complexities2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Alexander M. Dalzell, Sam McArdle, Mario Berta, Przemysław Bienias, Chi-Fang Chen, András Gilyén, +7 more
42citations -
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Vicente P. Soloviev, Vedran Dunjko, Concha Bielza, Pedro Larrañaga, Hao Wang
0citations