14 citations · 95 across the 24 of their papers we have counts for
24 papers
Design and Analysis of an Improved Constrained Hypercube Mixer in Quantum Approximate Optimization Algorithm
Arkadiusz Wołk, Karol Capała, Katarzyna Rycerz
The Quantum Approximate Optimization Algorithm (QAOA) is expected to offer advantages over classical approaches when solving combinatorial optimization problems in the Noisy Interm…
Hitting the blinking target under stochastic resetting
Bartosz Zbik, Bartłomiej Dybiec, Karol Capała +2
The first hitting times of a stochastic process, i.e., the first time a process reaches a particular level, are of significant interest across various scientific disciplines, inclu…
Reset Induced Multimodality in Unbounded Potential
Karol Capała
Resetting, as a protocol that restarts the evolution of a system, can significantly influence stochastic dynamics. One notable effect is the emergence of stationary states in unbou…
Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units
Joan Falcó-Roget, Kacper Jurek, Barbara Wojtarowicz +2
Quantum adiabatic optimization has long been expected to outperform classical methods in solving NP-type problems. While this has been proven in certain experiments, its main appli…
Improving Noise Robustness through Abstractions and its Impact on Machine Learning
Alfredo Ibias, Karol Capala, Varun Ravi Varma +2
Noise is a fundamental problem in learning theory with huge effects in the application of Machine Learning (ML) methods, due to real world data tendency to be noisy. Additionally,…
Preservation of Feature Stability in Machine Learning Under Data Uncertainty for Decision Support in Critical Domains
Karol Capała, Paulina Tworek, Jose Sousa
In a world where Machine Learning (ML) is increasingly deployed to support decision-making in critical domains, providing decision-makers with explainable, stable, and relevant inp…