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Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Cenk Tüysüz, Maria Demidik, Luuk Coopmans, Enrico Rinaldi, V. Croft, Y. Haddad, +2 more
1citations -
Universality of Classically Trainable, Quantum-Deployed Boson-Sampling Generative Models2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Andrii Kurkin, Ulysse Chabaud, Zoltán Kolarovszki, Bence Bakó, Zoltán Zimborás, Vedran Dunjko
0citations -
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 -
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
Accelerated quantification of reinforcement degradation in additively manufactured Ni-WC metal matrix composites via SEM and vision transformers2025 Materials Characterization article Computer Science Advanced Neural Network Applications Open access
Mutahar Safdar, Bashir Kazimi, Karina Ruzaeva, Gentry Wood, Max Zimmermann, Guy Lamouche, +3 more
1citations
23 results