activity
20162022
most citedSuperdiffusive quantum stochastic walk definable of arbitrary directed graph

28 citations · 166 across the 19 of their papers we have counts for

collaborators

19 papers

physics.soc-ph2022★ 3 cited

Will you infect me with your opinion?

Krzysztof Domino, Jarosław Adam Miszczak

Opinion formation is one of the most fascinating phenomena observed in human communities, and the ability to predict and to control the dynamics of this process is interesting from…

physics.chem-ph2022★ 1 cited

Statistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment

Piotr Weber, Piotr Bełdowski, Adam Gadomski +3

We present the statistical method to study the interaction between a chosen protein and another molecule (e.g., both being components of lubricin found in synovial fluid) in a wate…

quant-ph2021★ 3 cited

Quantum annealing in the NISQ era: railway conflict management

Krzysztof Domino, Mátyás Koniorczyk, Krzysztof Krawiec +3

We are in the Noisy Intermediate-Scale Quantum (NISQ) devices' era, in which quantum hardware has become available for application in real-world problems. However, demonstrating th…

quant-ph2021

Statistical quality assessment of Ising-based annealer outputs

Krzysztof Domino, Mátyás Koniorczyk, Zbigniew Puchała

The ability to evaluate the outcomes of quantum annealers is essential for such devices to be used in complex computational tasks. We introduce a statistical test of the quality of…

cs.ET2021★ 27 cited

Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Rescheduling for Quantum Computing

Krzysztof Domino, Akash Kundu, Özlem Salehi +1

As consequences of disruptions in railway traffic affect passenger experience/satisfaction, appropriate rerouting and/or rescheduling is necessary. These problems are known to be N…

cs.ET2020★ 13 cited

Quantum computing approach to railway dispatching and conflict management optimization on single-track railway lines

Krzysztof Domino, Mátyás Koniorczyk, Krzysztof Krawiec +2

In this work, we consider a practical railway dispatching problem: delay and conflict management on a single-track railway line. We examine the issue of train dispatching consequen…

physics.bio-ph2019★ 1 cited

Investigating conformation changes and network formation of mucin in joints functioning in human locomotion

Natalia Kruszewska, Piotr Bełdowski, Krzysztof Domino +1

Many different processes take place to facilitate lubrication of the joints functioning in human locomotion system. The main purpose of this is to avoid destroying the articular ca…

cs.CV2019★ 1 cited

The dynamics of the stomatognathic system from 4D multimodal data

Agnieszka A. Tomaka, Leszek Luchowski, Dariusz Pojda +2

The purpose of this chapter is to discuss methods of acquisition, visualization and analysis of the dynamics of a complex biomedical system, illustrated by the human stomatognathic…

stat.ME2018★ 1 cited

Selected Methods for non-Gaussian Data Analysis

Krzysztof Domino

The basic goal of computer engineering is the analysis of data. Such data are often large data sets distributed according to various distribution models. In this manuscript we focu…

cs.CV2018★ 3 cited

Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images

Przemysław Głomb, Krzysztof Domino, Michał Romaszewski +1

In the small target detection problem a pattern to be located is on the order of magnitude less numerous than other patterns present in the dataset. This applies both to the case o…

stat.ME2018★ 15 cited

Multivariate cumulants in outlier detection for financial data analysis

Krzysztof Domino

There are many research papers yielding the financial data models, where returns are tied either to the fundamental analysis or to the individual, often irrational, behaviour of in…

cs.DS2018★ 4 cited

Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas

Krzysztof Domino, Adam Glos

In this paper, we present the algorithm that alters the subset of marginals of multivariate standard distributed data into such modelled by an Archimedean copula. Proposed algorith…

quant-ph2017★ 3 cited

Rapid and Robust generation of Einstein--Podolsky--Rosen pairs with Spin Chains

Kieran N. Wilkinson, Marta P. Estarellas, Timothy P. Spiller +1

We investigate the ability of dimerized spin chains with defects to generate EPR pairs to very high fidelity through their natural dynamics. We propose two protocols based on diffe…

cs.DS2017★ 8 cited

Algorithm for an arbitrary-order cumulant tensor calculation in a sliding window of data streams

Krzysztof Domino, Piotr Gawron

High order cumulant tensors carry information about statistics of non-normally distributed multivariate data. In this work we present a new efficient algorithm for calculation of c…

math.NA2017★ 18 cited

Efficient computation of higher order cumulant tensors

Krzysztof Domino, Piotr Gawron, Łukasz Pawela

In this paper, we introduce a novel algorithm for calculating arbitrary order cumulants of multidimensional data. Since the order cumulant can be presented in the for…

quant-ph2017★ 28 cited

Superdiffusive quantum stochastic walk definable of arbitrary directed graph

Krzysztof Domino, Adam Glos, Mateusz Ostaszewski

In this paper we define a quantum stochastic walk on arbitrary directed graph with super-diffusive propagation on a line graph. Our model is based on global environment interaction…

quant-ph2016★ 28 cited

Efficient simulation of sparse Markovian quantum dynamics

Andrew M. Childs, Tongyang Li

Quantum algorithms for simulating Hamiltonian dynamics have been extensively developed, but there has been much less work on quantum algorithms for simulating the dynamics of open…

quant-ph2016★ 3 cited

Properties of quantum stochastic walks from the asymptotic scaling exponent

Krzysztof Domino, Adam Glos, Mateusz Ostaszewski +2

This work focuses on the study of quantum stochastic walks, which are a generalization of coherent, i. e. unitary quantum walks. Our main goal is to present a measure of a coherenc…

q-fin.PM2016★ 6 cited

The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios

Krzysztof Domino

The cumulant analysis plays an important role in non Gaussian distributed data analysis. The shares' prices returns are good example of such data. The purpose of this research is t…