Publikacje

2026

• Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing; Submitted: IEEE Internet of Things Journal; 2026
• Sikorski L.; Pawela Ł.; Horodecki K.; Limitations on quantum key repeaters for all key correlated states; Submitted: arXiv:2206.00993; 2026
• Pawela Ł.; Parrondo paradox in quantum image encryption; Submitted: arXiv:2508.16382; 2026
• Pawela Ł.; Puchała Z.; IntegrateUnitary.jl: A Julia package for symbolic integration over Haar measures; Submitted: arXiv:2605.23830; 2026
• Marcinkowska L.; Pawela Ł.; Markiewicz M.; Puchała Z.; Asymptotic distinguishability of Haar-averaged measurement models; Submitted: arXiv:2605.31168; 2026
• Bílek A.; Kukulski R.; Lewandowska P.; Pawela Ł.; Puchała Z.; Noise Resilience of Quantum Key Distribution Protocols Secured Against Independent Attacks With One-Way Communication; Submitted: arXiv:2607.11857; 2026
• Pawlowski J.; Śmierzchalski T.; Jin F.; Gardas B.; Deffner S.; Mzaouali Z.; Quantum annealers as programmable thermal machines; Submitted: arxiv:2608.04564; 2026
• Pawlowski J.; Tarasiuk P.; Tuziemski J.; Pawela Ł.; Gardas B.; Simulated Bifurcation Quantum Annealing; Submitted: arxiv:2604.01050v1; 2026
• Pojda D.; Domino K.; Tarnawski M.; Tomaka A.; Transformation-driven generation of comparable projection images from multimodal anatomical scenes; Submitted: Journal of Computational Science (preprint available on arXiv); 2026
• Tomaka A.; Domino K.; Tarnawski M.; Pojda D.; Quantifying mandibular positioning error and simulated temporomandibular joint-space changes in patient-specific occlusal splints; Submitted: Medical & Biological Engineering & Computing (preprint available on arXiv); 2026

2025

• Pawłowski J.; Tuziemski J.; Tarasiuk P.; Przybysz A.; Adamski R.; Hendzel K.; Pawela Ł.; Gardas B.; VeloxQ: A Fast and Efficient QUBO Solver; Submitted: arXiv:2501.19221; 2025

• Kędziera E.; Gamon W.; Koniorczyk M.; Mzaouali Z.; Galadíková A.; Domino K.; EMU circulation planning for Silesian Railways: case study and a quantum approach; Submitted: arxiv preprint
• Nasereddin M.; Gelenbe E.; Parameter Sensitivity of AADRNN-Based Attack Detection; Submitted: 31st Symposium on Computers and Communications (IEEE ISCC 2026)
• Filus K.; Żarski M.; Beyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning; Submitted: arXiv preprint
• Filus K.; Romaszewski M.; Żarski M.; Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities; Submitted: arXiv preprint
• Markiewicz M.; Schlichtholz K.; Unitary operator bases as universal averaging sets; Submitted: arXiv:2503.17091 [quant-ph]
• Markiewicz M.; Pawela Ł.; Puchała Z.; Discrimination of arbitrary unknown quantum channels and measurements; Submitted: arXiv:2501.17317 [quant-ph]
• Żukowski M.; Markiewicz M.; Against (unitary) interpretation (of quantum mechanics): removing the metaphysical load; Submitted: arXiv:2409.17061 [quant-ph]
• Atallah M.; Velmurugan H.; Sharma R.; Midha S.; Mamun S.; Botelho L.; Glos A.; Salehi Ö.; Integer Factorization through Func-QAOA; Submitted: arXiv preprint
• Książek K.; Spurek P.; HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning; Submitted
• Bakó B.; Glos A.; Salehi Ö.; Zimborás Z.; Prog-QAOA: Framework for resource-efficient quantum optimizatino through classical programs; Submitted: arXiv preprint arXiv:2209.03386
• Kukulski R.; Glos A.; Comment to Spatial Search by Quantum Walk is Optimal for Almost all Graphs; Submitted: arXiv:2009.13309
• Salehi Ö.; Yakaryılmaz A.; State-efficient QFA Algorithm for Quantum Computers; Submitted: arXiv preprint arXiv:2107.02262

2026

• Gül B.; Nakip M.; Jazdi N.; Weyrich M.; Energy- and QoS-Gated Federated Learning for Sustainable Wearable Stress Detection; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026
• Nakip M.; Gibała R.; An LLM-Guided Agentic Optimization Toolbox for Edge-Deployable Neural Networks; In Press: 35th ACM International Conference on Information and Knowledge Management; 2026