Material de Difusión
Quantum Computing for Real IndustriesPublicaciones
[1] Osaba, E., & Villar-Rodriguez, E. (2023). QOPTLib: A Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems. In Benchmarks and Hybrid Algorithms in Optimization and Applications (pp. 49–63). doi:10.1007/978-981-99-3970-1_4
[2] V. Romero, S., Osaba, E., Villar-Rodriguez, E., Oregi, I., & Ban, Y. (2023). Hybrid approach for solving real-world bin packing problem instances using quantum annealers. Scientific Reports, 13(1). doi:10.1038/s41598-023-39013-9
[3] Osaba, E., Villar-Rodriguez, E., & V. Romero, S. (2023). Benchmark dataset and instance generator for real-world three-dimensional bin packing problems. Data in Brief, 49, 109309. doi:10.1016/j.dib.2023.109309
[4] Romero, S. V., Osaba, E., Villar-Rodriguez, E., & Asla, A. (2023, September). Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2239–2245. doi:10.1109/itsc57777.2023.10422581
[5] Osaba, E., Villar-Rodriguez, E., Gomez-Tejedor, A., & Oregi, I. (2024). Hybrid Quantum Solvers in Production: how to succeed in the NISQ era? arXiv [Cs.ET]. Retrieved from http://arxiv.org/abs/2401.10302
[6] Osaba, E., Villar-Rodriguez, E., & Asla, A. (2024). Solving a Real-World Package Delivery Routing Problem Using Quantum Annealers. arXiv [Cs.ET]. Retrieved from http://arxiv.org/abs/2403.15114
[7] Delgado, I. P., Markaida, B. G., Ali, A. M., & de Leceta, A. M. F. (2023, September). QUBO Resolution of the Job Reassignment Problem. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 4847–4852. doi:10.1109/itsc57777.2023.10422467
[8] Ali, A. M., Delgado, I. P., Roura, M. R., & de Leceta, A. M. F. (2024). Efficient Finite Initialization for Tensorized Neural Networks. arXiv [Cs.LG]. Retrieved from http://arxiv.org/abs/2309.06577
[9] Ali, A. M., Delgado, I. P., Roura, M. R., de Leceta, A. M. F., & Romero, S. V. (2024). Solving Systems of Linear Equations: HHL from a Tensor Networks Perspective. arXiv [Quant-Ph]. Retrieved from http://arxiv.org/abs/2309.05290
[10] Ali, A. M., Delgado, I. P., Roura, M. R., & de Leceta, A. M. F. (2024). Polynomial-time Solver of Tridiagonal QUBO and QUDO problems with Tensor Networks. arXiv [Quant-Ph]. Retrieved from http://arxiv.org/abs/2309.10509
[11] Ali, A. M., Delgado, I. P., & de Leceta, A. M. F. (2024). Quantum-inspired Techniques in Tensor Networks for Industrial Contexts. arXiv [Quant-Ph]. Retrieved from http://arxiv.org/abs/2404.11277
[12] Ali, A. M., Delgado, I. P., Markaida, B. G., & de Leceta, A. M. F. (2024). Task Scheduling Optimization from a Tensor Network Perspective. arXiv [Quant-Ph]. Retrieved from http://arxiv.org/abs/2311.10433
[13] Delgado, I. P., Markaida, B. G., Ali, A. M., & de Leceta, A. M. F. (2023). Qubit Number Optimization for Restriction Terms of QUBO Hamiltonians. arXiv [Quant-Ph]. Retrieved from http://arxiv.org/abs/2306.06943
[14] Romero, S. V., Osaba, E., Villar-Rodriguez, E., & Asla, A. (2023, September). Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach.2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2239–2245. doi:10.1109/itsc57777.2023.10422581
[15] V. Romero, S., Osaba, E., Villar-Rodriguez, E., Oregi, I., & Ban, Y. (2023). Hybrid approach for solving real-world bin packing problem instances using quantum annealers. Scientific Reports, 13(1). http://arxiv.org/abs/2403.15114
[16] V. Romero, S., Osaba, E., Villar-Rodriguez, E., Oregi, I., & Ban, Y. (2023). Hybrid approach for solving real-world bin packing problem instances using quantum annealers. Scientific Reports, 13(1). https://phantomsfoundation.com/QUANTUM/2024/Abstracts/2024_Oregui_Izaskun_199.pdf
[17]Strässer, R., Seidel, M., Brändle, F., Meister, D., Soloperto, R., Ferrer, D. H., & Allgöwer, F. (2024). Collision Avoidance Safety Filter for an Autonomous E-Scooter using Ultrasonic Sensors. IFAC-PapersOnLine,58(10), 22–28. doi:10.1016/j.ifacol.2024.07.313
[18] Saetchnikov, A. V., Tcherniavskaia, E. A., Saetchnikov, V. A., & Ostendorf, A. (2024). Two-photon polymerization of optical microresonators for precise pH sensing. Light: Advanced Manufacturing, 5(4), 1. doi:10.37188/lam.2024.054
[19]Romero, S. V., Osaba, E., Villar-Rodriguez, E., & Asla, A. (2023, September). Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2239–2245. doi:10.1109/itsc57777.2023.10422581
[20] Osaba, E., Villar-Rodriguez, E., & Asla, A. (2024). Exploring Utility in a Real-World Warehouse Optimization Problem: Formulation Based on Quantum Annealers and Preliminary Results. arXiv [Cs.ET]. Retrieved from http://arxiv.org/abs/2409.09706
Consorcio liderado por Ayesa
Formado por las empresas Serikat, Quanvia, Multiverse, Mercedes Benz España e Integrated Technology Systems an Ayesa Company





Con la participación de la Red Vasca de Ciencia Tecnología e innovación (RVCTI): Fundación Tecnalia Research & Innovation, i3B – Instituto Ibermatica de innovación an Ayesa Company, UPV / EHU y DIPC Donostia International Physics Center




Apoyo e interés de la Diputacion Foral de Bizkaia, Sener, Petronor, Gaia Cluster ICTA y Kutxabank




