Tomasz Śmierzchalski

2026

Pawlowski J.; Śmierzchalski T.; Jin F.; Gardas B.; Deffner S.; Mzaouali Z.; Quantum annealers as programmable thermal machines; Submitted: arxiv:2608.04564; 2026

2025

Śmierzchalski T.; Dziubyna A.; Jałowiecki K.; Mzaouali Z.; Pawela Ł.; Gardas B.; Rams M.; SpinGlassPEPS.jl: Tensor-network package for Ising-like optimization on quasi-two-dimensional graphs; SoftwareX; 2025
Dziubyna A.; Śmierzchalski T.; Gardas B.; Rams M.; Mohseni M.; Limitations of tensor-network approaches for optimization and sampling: A comparison to quantum and classical Ising machines; Physical Review Applied; 2025

2024

Śmierzchalski T.; Mzaouali Z.; Deffner S.; Gardas B.; Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance; Scientific Reports; 2024
Śmierzchalski T.; Pawłowski J.; Przybysz A.; Pawela Ł.; Puchała Z.; Koniorczyk M.; Gardas B.; Deffner S.; Domino K.; Hybrid quantum-classical computation for automatic guided vehicles scheduling; Scientific Reports; 2024

2022

Śmierzchalski T.; Pawela Ł.; Puchała Z.; Trzciński T.; Gardas B.; Post-Error Correction for Quantum Annealing Processor using Reinforcement Learning; International Conference on Computational Science (ICCS 2022): Lecture Notes in Computer Science ; 2022