Katarzyna Rycerz

ORCID: 0000-0002-8032-7251
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About
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Research Areas
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Quantum Computing Algorithms and Architecture
  • Simulation Techniques and Applications
  • Parallel Computing and Optimization Techniques
  • Quantum Information and Cryptography
  • Advanced Data Storage Technologies
  • Quantum Mechanics and Applications
  • Graphene research and applications
  • Service-Oriented Architecture and Web Services
  • Cloud Computing and Resource Management
  • Quantum and electron transport phenomena
  • Quantum-Dot Cellular Automata
  • Thermal properties of materials
  • Advancements in Semiconductor Devices and Circuit Design
  • Computability, Logic, AI Algorithms
  • Bayesian Modeling and Causal Inference
  • Additive Manufacturing and 3D Printing Technologies
  • Information Systems and Technology Applications
  • Mathematical Biology Tumor Growth
  • Opinion Dynamics and Social Influence
  • Blockchain Technology Applications and Security
  • Carbon Nanotubes in Composites
  • Reservoir Engineering and Simulation Methods
  • 3D Printing in Biomedical Research

AGH University of Krakow
2013-2024

Institute of Computer Science
2004-2024

Jagiellonian University
2024

Akademickie Centrum Komputerowe Cyfronet AGH
2023

Medical University of Warsaw
2019

University of Central Lancashire
2019

Czech Academy of Sciences, Institute of Computer Science
2006-2007

Embedded three-dimensional printing (e-3DP) is an emerging method for additive manufacturing where semi-solid materials are extruded within a solidifying liquid matrix. Here, we present the first example of employing e-3DP in pharmaceutical field and demonstrate fabrication bespoke chewable dosage forms with dual drug loading potential use pediatrics. LegoTM-like bricks made edible soft material (gelatin-based matrix) were produced by directly extruding novel patterns model ink (embedded...

10.3390/pharmaceutics11120630 article EN cc-by Pharmaceutics 2019-11-26

Nature is observed at all scales; with multiscale modeling, scientists bring together several scales for a holistic analysis of phenomenon. The models on these different may require significant but also heterogeneous computational resources, creating the need distributed computing. A particularly demanding type models, tightly coupled, brings it number theoretical and practical issues. In this contribution, coupled model in-stent restenosis first theoretically examined its merits using...

10.1016/j.procs.2012.04.064 article EN Procedia Computer Science 2012-01-01

This article presents the design and feasibility of a system that supports execution High Level Architecture (HLA)-distributed interactive simulations in an unreliable Grid environment. The overall architecture based on experience gained from previous designs. most important operational components are presented, actual performance issues discussed. is Open Services (OGSA) concept allows for modularity compatibility with services already being developed. issue migration to recently proposed...

10.1177/0037549705051970 article EN SIMULATION 2005-01-01

We present a global overview of the methodology developed within MAPPER European project to design, implement and run multiscale simulation on distributed supercomputing infrastructure.Our goal is highlight main steps required when developing an application this framework.More specifically, we illustrate proposed approach in case hydrology applications.A performance model describing execution time as function its spatial resolution hardware proposed.It shows that Distributed Multiscal...

10.1016/j.procs.2013.05.276 article EN Procedia Computer Science 2013-01-01

In this paper we consider the combinatorial optimization problem known as workflow scheduling. We compare three encoding schemes of varying density: one-hot, binary, and domain wall, test their performance against two well-known hybrid quantum-classical algorithms: Quantum Approximate Optimization Algorithm (QAOA) Variational Eigensolver (VQE). an attempt to obtain best results possible, investigate various parameters algorithms out other state-of-the-art improvements, such dedicated QAOA...

10.31577/cai_2021_4_897 article EN Computing and Informatics 2021-01-01
Rafael Ferreira da Silva Rosa M. Badía Venkat Bala Debbie Bard Peer‐Timo Bremer and 95 more Ian K. Buckley Silvina Caíno‐Lores Kyle Chard Carole Goble Shantenu Jha Daniel S. Katz Daniel Laney Manish Parashar Frédéric Suter Nick Tyler Thomas D. Uram İlkay Altıntaş Stefan Andersson William Arndt Juan Pedro Aznar Jonathan Bader Bartosz Baliś Chris Blanton Kelly Rosa Braghetto Aharon Brodutch Paul Brunk Henri Casanova Alba Cervera Lierta Justin Chigu Tainã Coleman Nick Collier Iacopo Colonnelli Frederik Coppens Michael R. Crusoe W. S. Cunningham Bruno de Paula Kinoshita Paolo Di Tommaso Charles Doutriaux Matthew T. Downton Wael Elwasif Bjoern Enders Christopher Erdmann Thomas Fahringer Ludmilla Figueiredo Rosa Filgueira Martin Foltín Anne Fouilloux Luiz Gadelha Andy Gallo Artur Garcia Saez Daniel Garijo Roman G. Gerlach Ryan E. Grant Samuel Grayson Patricia Grubel Johan E. Gustafsson Valérie Hayot‐Sasson Óscar Hernández Marcus Hilbrich Annmary Justine I. Laflotte Fabian Lehmann André Luckow Jakob Luettgau Ketan Maheshwari Motohiko Matsuda Doriana Medić Peter Mendygral Marek T. Michalewicz Jorji Nonaka Maciej Pawlik Loïc Pottier Line Pouchard Mathias Pütz Santosh Kumar Radha Lavanya Ramakrishnan Sasko Ristov Paul Romano Daniel Rosendo Martin Ruefenacht Katarzyna Rycerz Nishant Saurabh V. Savchenko Martin Schulz Christine M. Simpson Raúl Sirvent Tyler J. Skluzacek Stian Soiland‐Reyes Renan P. Souza Sreenivas R. Sukumar Ziheng Sun Alan Sussman Douglas Thain Mikhail Titov Benjamín Tovar Aalap Tripathy Matteo Turilli Bartosz Tużnik Hubertus J. J. van Dam Aurelio Vivas

Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on to orchestrate large and complex experiments that range from execution of a cloud-based data preprocessing pipeline multi-facility instrument-to-edge-to-HPC computational workflows. Given the changing landscape evolving needs emerging applications, it paramount development novel system functionalities seek increase efficiency, resilience, pervasiveness...

10.48550/arxiv.2304.00019 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Thermopower and the Lorentz number for an edge-free (Corbino) graphene disk in quantum Hall regime is calculated within Landauer-Büttiker formalism. By varying electrochemical potential, we find that amplitude of Seebeck coefficient follows a modified Goldsmid-Sharp relation, with energy gap defined by interval between zero first Landau levels bulk graphene. An analogous relation also determined. Thus, these thermoelectric properties are solely magnetic field, temperature, Fermi velocity...

10.3390/ma16124250 article EN Materials 2023-06-08

In this paper, we analyze existing quantum computer simulation techniques and their realizations to minimize the impact of exponential complexity simulated computations. As a result investigation, propose simulator with an integrated development environment – QuIDE supporting algorithms for future computers. The simplifies building testing circuits understanding in efficient way. provides flexibility source code edition ease graphical circuit diagrams. We also describe used as well present...

10.7494/csci.2015.16.1.103 article EN publisher-specific-oa Computer Science 2015-01-01

We present a reusable solution that supports users in combining single-scale models to create multiscale application. Our approach applies several programming tools allow compose applications using graphical interface, and provides an easy way execute these on international production infrastructures. extends the general purpose scripting of GridSpace platform with simple mechanisms for accessing resources, provided by Application Hosting Environment (AHE). apply our support construct...

10.1016/j.procs.2013.05.277 article EN Procedia Computer Science 2013-01-01

The grid paradigm for distributed computation provides an interesting framework the simulation of dense stellar systems, which remains a great challenge astrophysicists. In this work we apply model to astrophysical N-body problem: High Level Architecture (HLA), using federations on top infrastructures communication between and visualization components. To achieve goal, use HLA Management system (G-HLAM) HLA-based simulations running grid. We compare setup with direct parallelization code MPI...

10.1177/1094342007074874 article EN The International Journal of High Performance Computing Applications 2007-04-26

Abstract This work proposes an extension of the well-known Eisert–Wilkens–Lewenstein scheme for playing a twice repeated $$2\times 2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>×</mml:mo> </mml:mrow> </mml:math> game using single quantum system with ten maximally entangled qubits. The proposed is then applied to Prisoner’s Dilemma game. Rational strategy profiles are examined in presence limited awareness players. In particular, paper...

10.1007/s11128-020-02743-0 article EN cc-by Quantum Information Processing 2020-07-29

Recently, the idea of quantum computation is becoming more and popular there are many attempts to build computers. Therefore, a need introduce this topic regular students computer science engineering. In paper we present concept course powered by Quantum Integrated Development Environment (QuIDE), new simulator that joins features GUI based simulators with inter- preters simulation library approach. The put together theoretical aspects practical assignments realized on QuIDE simulator. Such...

10.1016/j.procs.2015.05.374 article EN Procedia Computer Science 2015-01-01
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