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SUMMARY:[HYBRID] Qiskit Fall Fest 2026 at IT4Innovations
DTSTART:20261026T080000Z
DTEND:20261026T153000Z
DTSTAMP:20261003T152600Z
UID:indico-event-411@events.it4i.cz
CONTACT:training@it4i.cz
DESCRIPTION:\nAnnotation\nIf you've ever wondered what quantum computing r
 eally is\, this is your chance to find out. During the event\, we'll explo
 re what makes quantum computers fundamentally different from the computers
  we use every day\, why this technology is attracting so much attention\, 
 and what makes it so exciting. Quantum computing is still a young and rapi
 dly developing field\, but its potential is already being explored in area
 s such as drug discovery\, optimisation\, and the simulation of materials 
 and physical systems that are extremely difficult to study with classical 
 computers. We'll take a closer look at where quantum computing stands toda
 y\, what researchers are currently working on\, and what this technology c
 ould make possible in the future.\nQiskit Fall Fest is a global series of 
 quantum computing events\, organised around the world with support from IB
 M Quantum. This year marks a decade since IBM introduced the world's first
  open-access quantum computer\, and Qiskit Fall Fest 2026 celebrates that 
 milestone with events happening on campuses and in communities everywhere.
  We're proud to be hosting our own edition of Qiskit Fall Fest 2026 right 
 here at IT4Innovations in Ostrava.\n\nBenefits for the attendees\, what wi
 ll they learn:\nDiscover where quantum technology stands today and why it 
 matters\, connect with others who share an interest in the field\, and get
  the chance to ask questions directly to researchers. The event will also 
 offer a close look at a real quantum computer.\nAgenda\nTalk title: Noise 
 Resilience of QKD Protocols Secured Against Independent Attacks With One-W
 ay Communication\nSpeaker: Paulina Lewandovska\, IT4Innovations\nAbstract:
  We investigate the resilience to noise of single-qubit quantum key distri
 bution (QKD) protocols in the scenario of security against independent eav
 esdropping attacks and key distillation based on one-way classical communi
 cation. To this end\, we introduce a noise-based metric that quantifies th
 e efficiency of QKD protocols. Within this framework\, we analyse the maxi
 mal noise levels that allow Alice and Bob to asymptotically establish a se
 cure secret key. \nAbout the speaker: Paulina Lewandowska has completed h
 er PhD at the Institute of Theoretical and Applied Informatics\, Polish Ac
 ademy of Science (PAS). At the same time\, she was also one of the members
  of the Quantum Systems of Informatics Group in PAS. There\, she has gaine
 d knowledge about quantum computing\, benchmarking\, and validation method
 s of gate-based quantum computers. Her research also includes quantum caus
 al structure theory\, quantum learning\, and\, recently\, quantum game the
 ory. In 2024\, she joined the Quantum Computing Lab at IT4Innovations Nati
 onal Supercomputing Center to deepen her quantum computing experience.\nTa
 lk title: Quantum Algorithm for Earth Observation\nSpeaker: Michal Belina\
 , IT4Innovations\nAbstract: Satellites produce enormous amounts of data\, 
 and automating its analysis is an ongoing challenge. I will introduce a qu
 antum approach: we utilised so-called Gaussian Boson Sampling (GBS)\, a qu
 antum algorithm suitable for sampling dense subgraphs\, and applied it to 
 the analysis of hyperspectral data. Since GBS is native to photonic quantu
 m computers\, an essential part of the story is the compilation from photo
 nic to gate-based quantum computing architectures\, which I will also intr
 oduce.\nAbout the speaker: Michal Belina is a postdoctoral researcher at t
 he Quantum Computing Laboratory within the IT4Innovations National Superco
 mputing Center. He earned his Ph.D. in computational chemistry from the Un
 iversity of Chemistry and Technology in Prague. His doctoral work focused 
 on modelling relaxation processes following electronic excitation or ionis
 ation\, including core-level ionisation. He is focused on hydrogen-bonded 
 systems ranging from several atoms to crystal structures\, with periodic b
 oundary conditions.\nTalk title: Quantum Machine Learning for Time Series 
 Forecasting of Energy Price Trends\nSpeaker: Jiří Tomčala\, IT4Innovati
 ons\nAbstract: This talk will introduce the fundamental principles of a qu
 antum machine learning framework for time-series forecasting based on Para
 meterised Quantum Circuits (PQC). The approach\, commonly referred to as a
  Quantum Neural Network (QNN)\, will be presented together with its recurr
 ent extension\, the Quantum Recurrent Neural Network (QRNN). The second pa
 rt of the talk will report the results of applying both models to electric
 ity price forecasting using real-world market data spanning the period fro
 m 2024 to 2026.\nAbout the speaker: Jiří Tomčala is a researcher in the
  Quantum Computing laboratory of the IT4Innovations National Supercomputer
  Center. He graduated with a degree in Applied Mathematics in 2016 and ear
 ned his Ph.D. in Computer Science in 2021. Between 2021 and 2025\, he rece
 ived 5 Certificates of Quantum Excellence and 1 Quantum Challenge achievem
 ent from IBM Quantum. He is an active publishing researcher in the field o
 f quantum computing and regularly contributes his latest results to scient
 ific conferences and journals. His current research interests lie in the u
 se of quantum computation to solve optimisation problems\, factorisation\,
  and also in quantum machine learning\, especially in hybrid quantum neura
 l networks. Thus\, he focuses on variational quantum algorithms\, the comp
 osition of variational quantum circuits and on the specific applications o
 f Shor's and Grover's algorithms.\nTalk title: Quantum Reservoir Computing
  for Fraud Detection\nSpeaker: Ivana Miháliková\, IT4Innovations\nAbstra
 ct: This talk introduces the concept of reservoir computing and explores a
  hybrid quantum-classical approach for detecting fraudulent activity in re
 al-world transaction data. We will discuss how quantum circuits can be int
 egrated into a reservoir computing framework and compare their performance
  with simpler classical approaches.\nAbout the speaker: Ivana Miháliková
  is a postdoctoral researcher in the Quantum Computing laboratory at the I
 T4Innovations National Supercomputer Center. She received her Ph.D. in con
 densed matter physics from Masaryk University\, where her research focused
  on the application of quantum computing methods in theoretical materials 
 science. During her Ph.D.\, she was awarded the Quantum Computing Fellowsh
 ip at Los Alamos National Laboratory and participated in international pro
 jects and conferences. Her current research focuses on benchmarking quantu
 m computers and the preparation of thermal states.\nTalk title: Iterative 
 warm-started QAOA for optimising QUBO problems\nSpeaker: Ryszard Kukulski\
 , IT4Innovations\nAbstract: In this talk\, we present an iterative method
  to warm-start the initial state for the QAOA method. We use it to demonst
 rate the improvement for QUBO problems and show directions for future impr
 ovements. During the presentation\, we will show examples supporting the u
 tility of the developed method.\nAbout the speaker: Ryszard Kukulski is a 
 post-doc at IT4Innovations. He has contributed to research in quantum erro
 r correction\, focusing on probabilistic computation and optimisation of r
 esources needed for quantum computing. His prior works covered a variety o
 f subjects from quantum information theory. He is the author of a scalable
  benchmarking procedure based on a heavy output generation problem. In his
  articles\, Ryszard utilised random quantum matrix ensembles to create gen
 erative schemes with application to error correction\, benchmarking and qu
 antum measurement discrimination.\nTalk title: Beyond NISQ: Fault Tolerant
  Quantum Computing \nSpeaker: I-Chi Chen\, LANL\nAbstract: To achieve fau
 lt-tolerant quantum computing\, we need quantum error correction. Here\, 
 we will give introduction about quantum error correction and how we use it
  to achieve fault tolerant quantum computing.\nAbout the speaker: I-Chi Ch
 en is a postdoctoral researcher at Los Alamos National Laboratory. His res
 earch lies at the intersection of quantum many-body dynamics\, quantum sim
 ulation\, and quantum computing. I-Chi's publications include studies of 1
 ) quantum dynamics of infinite-temperature energy transport\; 2) a benchma
 rk study of quantum computing hardware for the simulation of the dynamics 
 of mixed-field Ising chains\; 3) a study of the PXP model in a strong stag
 gered external field\, which manifests quasiparticle confinement\; and 4) 
 work on early fault-tolerant quantum computing with a LANL/QuEra collabora
 tion. I-Chi received the 2021 IBM Open Science Prize for the task of the q
 uantum simulation of the Heisenberg model\, and nd he received first prize
  in Qhack 2024.\nLevel\nbeginner\, intermediate \nLanguage\nEnglish\nAckn
 owledgements\n\nThis course was supported by the Ministry of Education\, Y
 outh and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).\n
  \nAll presentations and educational materials of this course are provide
 d under the Creative Commons Attribution-ShareAlike 4.0 International (CC 
 BY-SA 4.0) license.\n\nhttps://events.it4i.cz/event/411/
IMAGE;VALUE=URI:https://events.it4i.cz/event/411/logo-3837025412.png
LOCATION:Training room 207 (IT4Innovations\, online)
URL:https://events.it4i.cz/event/411/
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