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Quantum generative modeling for financial time series with temporal correlations2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access
David Dechant, Eliot Jan Etienne Schwander, Lucas Van Drooge, Charles Moussa, Diego Garlaschelli, Vedran Dunjko, +1 more
3citations -
Application of quantum-inspired generative models to small molecular datasets2023 IEEE International Conference on Quantum Computing and Engineering (QCE) conference-paper Computer Science Computational Drug Discovery Methods Open access
Charles Moussa, Hao Wang, Mauricio Araya‐Polo, Thomas Bäck, Vedran Dunjko
9citations -
XYZ Ruby Code: Making a Case for a Three-Colored Graphical Calculus for Quantum Error Correction in Spacetime2025 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access
Julio C. Magdalena de la Fuente, Josias Old, Alex Townsend-Teague, Manuel Rispler, Jens Eisert, Markus Müller
0citations -
Quadratic Sums-of-Powers for Fixed-Parameter Tractable Quantum-Circuit Simulation2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Alexis de Colnet, Floris Geerts, Rihan Hai, Alfons Laarman, Joon Hyung Lee, Guillermo A. Pérez
0citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
0citations