Helsinki Python meetup at IQM Quantum Computers

Welcome to our June meetup, kindly hosted by IQM Quantum Computers.

Photos of the event may be shown on different digital channels of Helsinki Python and our hosts. Please also share your own photos!

Schedule

• 17:00 Doors open
• 17:30 Welcoming words from Helsinki Python team and our host
• 17:45 Janne Mäntylä: Engineering a Quantum Future: 0 to 1 in Full-Stack Superconducting Quantum Computers
• 18:20 Break
• 18:50 Quiz 🔮
• 19:00 Julia Ripatti: Introduction to quantum computing and practical applications of variational quantum algorithms
• 19:30 Per Liebermann: Asynchronous Programming in Quantum Hardware Orchestration
• 20:00 Visit to the IQM showroom
• 21:00 Let's start moving to a nearby bar to continue Python discussions 🍻

Talks

Janne Mäntylä: Engineering a Quantum Future: 0 to 1 in Full-Stack Superconducting Quantum Computers

Quantum computers promise to improve solutions to problems classical machines struggle with, from simulating molecular interactions to optimisation in logistics and finance. But how do you actually build one? This talk covers the fundamentals and use cases, IQM's full-stack superconducting approach from cryogenics to quantum operating system, and an honest look at where the technology stands today and the challenges ahead.

Julia Ripatti: Introduction to quantum computing and practical applications of variational quantum algorithms

Quantum computers can potentially solve certain computational problems beyond the reach of classical computers. This talk provides an accessible introduction to the fundamentals of quantum computing, including qubits, quantum gates, and quantum circuits. The talk focuses on Variational Quantum Algorithms (VQAs), a leading approach for near-term quantum computers that combine quantum and classical computational techniques. Through practical examples in optimization and machine learning, attendees will gain insights on how VQAs are applied to real-world problems.

Per Liebermann: Asynchronous Programming in Quantum Hardware Orchestration

Leveraging our hardware streaming capabilities and the concurrent nature of execution with the help of Python's async to limit idle time on the quantum processing unit.