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Neural-Network-Assisted Monte Carlo Sampling Trained by Quantum Approximate Optimization Algorithm

Yuichiro Nakano ^1,*, Ken N. Okada^2,†, and Keisuke Fujii^1,2,3,‡

¹Graduate School of Engineering Science, The University of Osaka, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
²Center for Quantum Information and Quantum Biology, The University of Osaka, 1-2 Machikaneyama, Toyonaka 560-0043, Japan
³Center for Quantum Computing, RIKEN, Wako, Saitama 351-0198, Japan

^*Contact author: u830977g@ecs.osaka-u.ac.jp
^†Contact author: okada.ken.qiqb@osaka-u.ac.jp
^‡Contact author: fujii.keisuke.es@osaka-u.ac.jp

No title available

Binglu Wang

Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer

Fabian Schindler and Jörg Schumacher

Phys. Rev. Research 8 033031 (2026)

Adiabatic dressing of quantum-enhanced Markov chains

Wen Ting Hsieh, Alev Orfi, and Dries Sels

Phys. Rev. A 114 052416 (2026)

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