BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:[ONLINE] Access to VLQ DTSTART:20261027T120000Z DTEND:20261027T150000Z DTSTAMP:20261004T030000Z UID:indico-event-413@events.it4i.cz CONTACT:training@it4i.cz DESCRIPTION:\nDiscover VLQ\, the quantum computer at IT4Innovations\, and learn how to start using its resources.\nAnnotation \nMeet VLQ\nThis onli ne session introduces VLQ\, the new quantum computer operated at IT4Innov ations\, and offers a closer look at the technology behind it. We will exp lore the main components of the system\, explain the basic principles of h ow it works\, and highlight the key differences between quantum and conven tional computing. The session will also provide a behind-the-scenes perspe ctive on the acquisition and installation of VLQ\, together with insights from its first period of operation\nGet Quantum Computing Time\nThe second part will focus on how to obtain computing time on the system. We will in troduce the available access opportunities\, explain who can apply for com putational resources\, and outline the main routes and procedures for gain ing access to VLQ.\nConnecting to VLQ: Quantum-as-a-Service (QaaS) \nThe 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 a nd 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.\nHands-On with VLQ: A Practical Quantum Computing \nDuring the lecture\, participants will be introduced to the practical utilization of the VLQ quantum computer for the execution of selected quantum circuits. T hese circuits will be designed using Grover’s algorithm and quantum opti mization techniques aimed at solving simple specific problems. The lecture will demonstrate how such quantum approaches can be applied to address co ncrete tasks and optimization challenges.\nLevel\nBeginner\nLanguage\nEngl ish\n \nTutors\nBranislav Jansík obtained his PhD in computational chemi stry at the Royal Institute of Technology\, Sweden in 2004. He took a post doctoral 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 devel opment of highly parallel optimization methods in the domain of electronic structure theory at Aarhus University\, Denmark. In 2012 he joined IT4Inn ovations\, the Czech national supercomputing centre\, as the director of S upercomputing Services. He has published over 35 papers and co-authored th e DALTON electronic structure theory code.Ladislav Foltyn\, Ph.D.\, is a S enior Researcher at the Advanced Data Analysis and Simulations Lab at IT4I nnovations\, VSB - Technical University of Ostrava\, Czech Republic. He le ads a research subgroup focused on the integration of high-performance com puting (HPC) and quantum computing workflows. His research interests inclu de the integration of quantum computing resources into HPC environments an d workflows. He is also one of the developers of the LEXIS Platform\, a di stributed HPC and cloud computing platform supporting complex scientific a nd data-intensive workflows. His current research focuses on practical app roaches 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 Mathema tics 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 Ex cellence and one IBM Quantum Challenge achievement\, recognizing his contr ibutions and expertise in the field of quantum computing. Dr. Tomčala ma intains an active research profile\, regularly publishing in leading scien tific journals and presenting his findings at international conferences. H is research focuses on the application of quantum computing to optimizatio n and factorization problems\, as well as quantum machine learning\, with particular emphasis on hybrid quantum neural networks. His work encompasse s variational quantum algorithms\, the design and analysis of parameterize d quantum circuits\, and the practical implementation of prominent quantum algorithms\, including Shor’s and Grover’s algorithms.\nAcknowledgeme nts\n\nThis course was supported by the Ministry of Education\, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).\n \nAll p resentations and educational materials of this course are provided under t he Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0 ) license.\n\nhttps://events.it4i.cz/event/413/ LOCATION:ONLINE ZOOM URL:https://events.it4i.cz/event/413/ END:VEVENT END:VCALENDAR