Vyron Vasileiadis

Information & Communications Technology

Environment and Cleantech

Government, Social Sector & Education

Cloud Development Cloud Architecture Microservice Architecture Web Development IoT Cloud & DevOps Cloud & Infrastructure Machine Leaning Deep Learning Quantum computing Microsoft Azure Azure App Service Azure Api Management Azure Functions Azure Kubernetes Services (AKS) Azure DevOps Azure Quantum Azure IoT Hub Azure Database for PostgreSQL Azure Cosmos DB Azure AI Terraform Docker Kubernetes RabbitMQ Redis PostgreSQL .NET 6 Entity Framework .NET MAUI Blazor CQRS & Event Sourcing

Athens, Attica, Greece

Quantum Machine Learning with Q#

Quantum Machine Learning is a research area that explores the interplay of ideas from quantum computing and machine learning.

In this session, we will explore how a hybrid Quantum-Classical Machine Learning model would work, how it can benefit us in the long run and how we can implement it using Microsoft's quantum programming language, Q#.


Vyron Vasileiadis

Senior Software Engineer @ BibeCoffee | MCT

Vyron Vasileiadis holds an MSc in Space Science and a BSc in Computer Science. He is a senior software engineer specializing in microservices and cloud architecture on Azure and has an active interest in quantum computing.

Being an experienced Microsoft Certified Trainer, he is passionate about education and the ecosystem and has taken over the role of mentor in several hackathons and incubators.

Vyron's full speaker profile