Bartłomiej Gardas, PhD Email: Orcid ID: 0000-0002-1454-1591Strona WWW: Home pagePosition: Institute ProfessorResearch groups Quantum Systems of Informatics Group Room: 103 Horizontal TabsPublications(active tab)ProjectsPublications Biblio RSS Submitted 1. Domino, K., E. Doucet, R. Robertson, B. Gardas, and S. Deffner, "On the Baltimore Light RailLink into the quantum future", Scientific Reports, vol. arXiv:2406.11268, 06/2024, Submitted. 2. Pawłowski, J., J. Tuziemski, P. Tarasiuk, A. Przybysz, R. Adamski, K. Hendzel, Ł. Pawela, and B. Gardas, " VeloxQ: A Fast and Efficient QUBO Solver", arXiv, Submitted. 3. Śmierzchalski, T., A. Maria Dziubyna, K. Jałowiecki, Z. Mzaouali, Ł. Pawela, B. Gardas, and M. M. Rams, "SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs", arXiv, Submitted. In Press 4. Robertson, R., E. Doucet, Z. Mzaouali, K. Domino, B. Gardas, and S. Deffner, "Simon's Period Finding on a Quantum Annealer", IEEE Quantum Week, Albuquerque, USA, IEEE International Conference on Quantum Computing and Engineering (QCE25), 04/2025, In Press. 2025 5. Dziubyna, A., T. Śmierzchalski, B. Gardas, M. Rams, and M. Mohseni, "Limitations of tensor-network approaches for optimization and sampling: A comparison to quantum and classical Ising machines", Physical Review Applied, vol. 23, issue 5, 05/2025. (2.25 MB) 2024 6. Śmierzchalski, T., Z. Mzaouali, S. Deffner, and B. Gardas, "Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance", arXiv preprint , vol. arXiv:2307.14022 , 2024. 7. Śmierzchalski, T., J. Pawłowski, A. Przybysz, Ł. Pawela, Z. Puchała, M. Koniorczyk, B. Gardas, S. Deffner, and K. Domino, "Hybrid quantum-classical computation for automatic guided vehicles scheduling", Scientific Reports, vol. 14, 09/2014, 2024. 8. Śmierzchalski, T., Z. Mzaouali, S. Deffner, and B. Gardas, "Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance", Scientific Reports, vol. 14, 2024. (1.81 MB) 9. Tripathy, D., A. Touil, B. Gardas, and S. Deffner, "Quantum information scrambling in two-dimensional Bose–Hubbard lattices", Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 34, 04, 2024. (1.18 MB) 10. Kukulski, R., M. Stępniak, K. Hendzel, Ł. Pawela, B. Gardas, and Z. Puchała, "Local certification of unitary operations", Scientific Reports, vol. 14, 2024. (2.49 MB) 11. Hawary, K. El, M. Azzouz, M. El Baz, S. Deffner, B. Gardas, and Z. Mzaouali, "Navigating the phase diagram of quantum many-body systems in phase space", Physical Review E, vol. 110, issue 1, 07/2024. (7.77 MB) 12. Gawron, P., P. Sadowski, P. Głomb, B. Gardas, M. Van Waveren, C. Forray, G. Pasero, M. Savinaud, P-M. Brunet, O. Faucoz, et al., "What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing?", IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, 2024. 2023 13. Domino, K., M. Koniorczyk, K. Krawiec, K. Jałowiecki, S. Deffner, and B. Gardas, "Quantum annealing in the NISQ era: railway conflict management", Entropy, vol. 25, 01/2023. 2022 14. Soriani, A., P. Nazé, M. V. S. Bonança, B. Gardas, and S. Deffner, "Assessing performance of quantum annealing with non-linear driving", Physical Review A, vol. 105, 2022. (1.9 MB) 15. Soriani, A., P. Naze, M. V. S. Bonancca, B. Gardas, and S. Deffner, "The three phases of quantum annealing: fast, slow, and very slow", Physical Review A, vol. 105, 2022. (1.71 MB) 16. Śmierzchalski, T., Ł. Pawela, Z. Puchała, T. Trzciński, and B. Gardas, "Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning", International Conference on Computational Science (ICCS 2022): Lecture Notes in Computer Science , 07/2022. (322.6 KB) 2021 17. Rams, M., M. Mohseni, D. Eppens, K. Jałowiecki, and B. Gardas, "Approximate optimization, sampling, and spin-glass droplet discovery with tensor networks", Phys. Rev. E, vol. 104, Aug, 2021. (3.74 MB) 18. Jałowiecki, K., M. Rams, and B. Gardas, "Brute-forcing spin-glass problems with CUDA", Comput. Phys. Commun, vol. 260, 11/2020, 2021. (910.46 KB) 2020 19. Jałowiecki, K., A. Więckowski, P. Gawron, and B. Gardas, "Parallel in time dynamics with quantum annealers", Sci. Rep, vol. 10, 2020. (1.58 MB) 2019 20. Czartowski, J., K. Szymański, B. Gardas, Y. Fyodorov, and K. Życzkowski, "Separability gap and large deviation entanglement criterion", Phys. Rev. A, vol. 100, pp. 042326, 2019. (478 KB) 21. Więckowski, A., S. Deffner, and B. Gardas, "Disorder-assisted graph coloring on quantum annealers", Phys. Rev. A, vol. 100, 12/2019. (745.68 KB) 2018 22. Gardas, B., M. Rams, and J. Dziarmaga, "Quantum neural networks to simulate many-body quantum systems", Phys. Rev. B, vol. 98, pp. 184304, Nov, 2018. (805.73 KB) 23. Gardas, B., and A. Ptok, "Counting defects in quantum computers with Graphics Processing Units", J. Comput. Phys, vol. 366, pp. 320 - 326, 2018. (1.04 MB) 24. Gardas, B., and S. Deffner, "Quantum fluctuation theorem for error diagnostics in quantum annealers", Sci. Rep, vol. 8, pp. 17191, 2018. (1.74 MB) 25. Gardas, B., J. Dziarmaga, W. Zurek, and M. Zwolak, "Defects in Quantum Computers", Sci. Rep, vol. 8, pp. 4539, 2018. (1.63 MB) Pages12następna ›ostatnia » Projectsiitis employee projects: (NdS-II/SP/0336/2024/01, 2024 - 2026) 2. Quantum Art Academy: Quantum computing and AI training creating an innovative society (NdS-II/SP/0222/2024/01, 2024 - 2026) 3. Optimal and probabilistic learning of quantum devices (2022/47/B/ST6/02380, 2023 - 2027) 4. Simulations of physical systems with near-term annealing technology (2020/38/E/ST3/00269, 2021 - 2026) (POIR.04.02.00-00-D014/20-00, 2021 - 2023) 6. Near-term quantum computers: challenges, optimal implementations and applications (POIR.04.04.00-00-17C1/18-00, 2019 - 2023)
