Studies in a random noise model of decoherence. - Piotr Korcyl; Jacek Wosiek; Leo Stodolsky (Quantum Inf. Process., 2011)

Investigating the Dirac Operator Evaluation with FPGAs. - Grzegorz Korcyl; Piotr Korcyl (Supercomput. Front. Innov., 2019)

Optimized implementation of the conjugate gradient algorithm for FPGA-based platforms using the Dirac-Wilson operator as an example. - Grzegorz Korcyl; Piotr Korcyl (CoRR, 2020)

Towards Lattice Quantum Chromodynamics on FPGA devices. - Grzegorz Korcyl; Piotr Korcyl (Comput. Phys. Commun., 2020)

Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (CoRR, 2021)

Numerical package for solving the JIMWLK evolution equation in C++. - Piotr Korcyl (SoftwareX, 2021)

Gradient estimators for normalising flows. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (CoRR, 2022)

Hierarchical autoregressive neural networks for statistical systems. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2022)

Training normalizing flows with computationally intensive target probability distributions. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2024)

Improving the solver for the Balitsky-Kovchegov evolution equation with Automatic Differentiation. - Florian Cougoulic; Piotr Korcyl; Tomasz Stebel (Comput. Phys. Commun., 2025)

NeuMC - A package for neural sampling for lattice field theories. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel; Dawid Zapolski (SoftwareX, 2025)

Hierarchical autoregressive neural networks in three-dimensional statistical system. - Piotr Bialas; Vaibhav Chahar; Piotr Korcyl; Tomasz Stebel; Mateusz Winiarski; Dawid Zapolski (CoRR, 2025)

Estimation of the reduced density matrix and entanglement entropies using autoregressive networks. - Piotr Bialas; Piotr Korcyl; Tomasz Stebel; Dawid Zapolski (CoRR, 2025)