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Physical Review Research

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Electronics (1)New J. Phys. (1)Optimization Methods and Software (1)Phys. Rev. E (1)Phys. Rev. Lett. (1)

Articles Citing

End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots

Tianyi Hao ^1,*, Zichang He ^1,*,†, Ruslan Shaydulin^1,‡, Jeffrey Larson ², and Marco Pistoia¹

¹Global Technology Applied Research, JPMorganChase, New York, New York 10017, USA
²Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USA

^*These authors contributed equally to this work.
^†Contact author: zichang.he@jpmchase.com
^‡Contact author: ruslan.shaydulin@jpmchase.com

Spin-Boson Mapping of the Quantum Approximate Optimization Algorithm

Sami Boulebnane, Abid Khan, Minzhao Liu, Jeffrey Larson, Dylan Herman, Ruslan Shaydulin, and Marco Pistoia

Phys. Rev. Lett. 136 240601 (2026)

Quantum approximate optimization of finite-state bosonic systems

Shakib Daryanoosh

Phys. Rev. E 113 025305 (2026)

Adaptive replication strategies in trust-region-based Bayesian optimization of stochastic functions

Mickaël Binois and Jeffrey Larson

Optimization Methods and Software 1 (2026)

Constrained quantum optimization via iterative warm-start X Y -mixers

David Bucher, Maximilian Janetschek, Michael Poppel, Jonas Stein, Claudia Linnhoff-Popien, and Sebastian Feld

New J. Phys. 28 084501 (2026)

Quantum Intelligence-Driven Dynamic Clustering for 6G Mega-LEO Satellite Constellation Networks

Bayan Hashr Alamri, Umara Noor, and Ahmed Barnawi

Electronics 15 5043 (2026)

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