Publikacje
Found 47 results
Filters: Autor is Gardas, Bartłomiej [Clear All Filters]
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Submitted. On the Baltimore Light RailLink into the quantum future. ArXiV preprint. arXiv:2406.11268
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Submitted. Limitations of tensor network approaches for optimization and sampling: A comparison against quantum and classical Ising machines. arXiv preprint. arXiv:2411.16431.
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2024. Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance. Scientific Reports. 14
(1.81 MB)
(1.81 MB).
2024. Hybrid quantum-classical computation for automatic guided vehicles scheduling. Scientific Reports. 14
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2024. Local certification of unitary operations. Scientific Reports. 14 (2.49 MB)
(2.49 MB).
2024. Navigating the phase diagram of quantum many-body systems in phase space. Physical Review E. 110(1) (7.77 MB)
(7.77 MB).
2024. Navigating the phase diagram of quantum many-body systems in phase space. Physical Review E. 110 (7.77 MB)
(7.77 MB).
2024. Navigating the phase diagram of quantum many-body systems in phase space. Physical Review E. 110 (7.77 MB)
(7.77 MB).
2024. Quantum information scrambling in two-dimensional Bose–Hubbard lattices. Chaos: An Interdisciplinary Journal of Nonlinear Science. 34 (1.18 MB)
(1.18 MB).
2024. What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing? IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium.
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2023. Comparison of Quantum Neural Network Algorithms For Earth Observation Data Classification. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.
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2023. Hyper-Spectral Image Classification Using Adiabatic Quantum Computation. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium.
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2023. Quantum annealing in the NISQ era: railway conflict management. Entropy. 25
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2022. Assessing performance of quantum annealing with non-linear driving. Physical Review A. 105 (1.9 MB)
(1.9 MB).
2022. Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning. International Conference on Computational Science (ICCS 2022): Lecture Notes in Computer Science . (322.6 KB)
(322.6 KB).
2022. The three phases of quantum annealing: fast, slow, and very slow. Physical Review A. 105 (1.71 MB)
(1.71 MB).
2021. Approximate optimization, sampling, and spin-glass droplet discovery with tensor networks. Phys. Rev. E. 104 (3.74 MB)
(3.74 MB).
2021. Brute-forcing spin-glass problems with CUDA. Comput. Phys. Commun. 260 (910.46 KB)
(910.46 KB).
2020. Parallel in time dynamics with quantum annealers. Sci. Rep. 10 (1.58 MB)
(1.58 MB).
2019. Disorder-assisted graph coloring on quantum annealers. Phys. Rev. A. 100 (745.68 KB)
(745.68 KB).
2019. Separability gap and large deviation entanglement criterion. Phys. Rev. A. 100:042326. (478 KB)
(478 KB).
2018. Counting defects in quantum computers with Graphics Processing Units. J. Comput. Phys. 366:320-326. (1.04 MB)
(1.04 MB).
2018. Defects in Quantum Computers. Sci. Rep. 8:4539. (1.63 MB)
(1.63 MB).
2018. Quantum fluctuation theorem for error diagnostics in quantum annealers. Sci. Rep. 8:17191. (1.74 MB)
(1.74 MB).
2018. Quantum neural networks to simulate many-body quantum systems. Phys. Rev. B. 98:184304. (805.73 KB)
(805.73 KB)
