Introduction to Quantum Computing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10260196" target="_blank" >RIV/61989100:27740/25:10260196 - isvavai.cz</a>

Výsledek na webu

<a href="https://events.it4i.cz/event/306/" target="_blank" >https://events.it4i.cz/event/306/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Introduction to Quantum Computing

Popis výsledku v původním jazyce

This workshop was designed for academics and research professionals with basic knowledge of quantum computing, strong programming skills, and an intermediate understanding of mathematics (linear algebra and probability theory). Participants typically had experience with high-performance computing (HPC) but limited or no prior exposure to quantum platforms or cloud computing. The primary goal of attendees was to explore practical applications of quantum computing in industry, with a particular focus on optimization, machine learning, and quantum chemistry (e.g., force field calculations and molecular docking). The workshop included hands-on, intermediate-level activities such as building simple quantum algorithms and emphasized Variational Quantum Algorithms (QAOA and VQE), which are central to Quantum Machine Learning.

Název v anglickém jazyce

Introduction to Quantum Computing

Popis výsledku anglicky

This workshop was designed for academics and research professionals with basic knowledge of quantum computing, strong programming skills, and an intermediate understanding of mathematics (linear algebra and probability theory). Participants typically had experience with high-performance computing (HPC) but limited or no prior exposure to quantum platforms or cloud computing. The primary goal of attendees was to explore practical applications of quantum computing in industry, with a particular focus on optimization, machine learning, and quantum chemistry (e.g., force field calculations and molecular docking). The workshop included hands-on, intermediate-level activities such as building simple quantum algorithms and emphasized Variational Quantum Algorithms (QAOA and VQE), which are central to Quantum Machine Learning.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů