[ONLINE] Access to VLQ
ONLINE ZOOM
Discover VLQ, the quantum computer at IT4Innovations, and learn how to start using its resources.
Annotation
Meet VLQ
This online session introduces VLQ, the new quantum computer operated at IT4Innovations, and offers a closer look at the technology behind it. We will explore the main components of the system, explain the basic principles of how it works, and highlight the key differences between quantum and conventional computing. The session will also provide a behind-the-scenes perspective on the acquisition and installation of VLQ, together with insights from its first period of operation
Get Quantum Computing Time
The second part will focus on how to obtain computing time on the system. We will introduce the available access opportunities, explain who can apply for computational resources, and outline the main routes and procedures for gaining access to VLQ.
Connecting to VLQ: Quantum-as-a-Service (QaaS)
The Python package Quantum-as-a-Service (QaaS) will be introduced. The package provides a Python client for accessing the VLQ quantum computer directly from Python scripts and Jupyter notebooks. It handles user authentication and authorization through the LEXIS Platform, as well as the accounting and management of QPU resource allocations. Through QaaS, users can submit quantum circuits in either Qiskit or OpenQASM 3.0 format for execution on the QPU.
Hands-On with VLQ: A Practical Quantum Computing
During the lecture, participants will be introduced to the practical utilization of the VLQ quantum computer for the execution of selected quantum circuits. These circuits will be designed using Grover’s algorithm and quantum optimization techniques aimed at solving simple specific problems. The lecture will demonstrate how such quantum approaches can be applied to address concrete tasks and optimization challenges.
Level
Beginner
Language
English
Tutors
Branislav Jansík obtained his PhD in computational chemistry at the Royal Institute of Technology, Sweden in 2004. He took a postdoctoral position at IPCF, Consiglio Niazionale delle Ricerche, Italy, to carry ondevelopment and applications of high performance computational methods for molecular optical properties. From 2006 he worked on the development of highly parallel optimization methods in the domain of electronic structure theory at Aarhus University, Denmark. In 2012 he joined IT4Innovations, the Czech national supercomputing centre, as the director of Supercomputing Services. He has published over 35 papers and co-authored the DALTON electronic structure theory code.
Ladislav Foltyn, Ph.D., is a Senior Researcher at the Advanced Data Analysis and Simulations Lab at IT4Innovations, VSB - Technical University of Ostrava, Czech Republic. He leads a research subgroup focused on the integration of high-performance computing (HPC) and quantum computing workflows. His research interests include the integration of quantum computing resources into HPC environments and workflows. He is also one of the developers of the LEXIS Platform, a distributed HPC and cloud computing platform supporting complex scientific and data-intensive workflows. His current research focuses on practical approaches to HPC-quantum computing integration and workloads.
Jiří Tomčala is a researcher at the Quantum Computing Laboratory of the IT4Innovations National Supercomputing Center. He received his degree in Applied Mathematics in 2016 and completed his Ph.D. in Computer Science in 2021. Between 2021 and 2025, he was awarded five IBM Quantum Certificates of Quantum Excellence and one IBM Quantum Challenge achievement, recognizing his contributions and expertise in the field of quantum computing.
Dr. Tomčala maintains an active research profile, regularly publishing in leading scientific journals and presenting his findings at international conferences. His research focuses on the application of quantum computing to optimization and factorization problems, as well as quantum machine learning, with particular emphasis on hybrid quantum neural networks. His work encompasses variational quantum algorithms, the design and analysis of parameterized quantum circuits, and the practical implementation of prominent quantum algorithms, including Shor’s and Grover’s algorithms.
Acknowledgements
This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
All presentations and educational materials of this course are provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.