Kvantify Launches First Webinar Series

Kvantify Launches First Webinar Series

Published on December 10, 2025

Kvantify

Kvantify is excited to announce the webinar series Kvantify Qrunch – Chemistry on Quantum Computers Should be Easy, a brand-new five-part webinar series designed to show just what Qrunch can do.

Qrunch is Kvantify's novel quantum technology, which makes running chemistry calculations on real quantum computers easier, faster, and more accessible than ever. Over the course of five episodes, our quantum experts will guide participants through Qrunch's capabilities, demonstrate hands-on usage, and share real-world applications where Qrunch has already delivered value.

The series kicks off with a high-level introduction to Qrunch: what it is, how it works, and why it is a game-changer for chemists and researchers seeking to use quantum computing in practice. Episode 1 also features a live demo showing how to run molecular calculations on a real quantum computer.

In the following four episodes, we will dive into specific use cases, highlighting how Qrunch is solving real-world challenges. Each session includes practical tutorials, insights into results, and of course plenty of time for questions.

Webinar Schedule

  1. December 16, 2025, 15:00–15:40 CET - Episode 1: Introduction to Qrunch and a simple use case
  2. January 14, 2026, 15:00–15:40 CET - Episode 2: Calculating ammonia's ionization potentials with a quantum computer
  3. January 28, 2026, 15:00–15:40 CET - Episode 3: Simulating covalent ligand binding with the BEAST-VQE algorithm
  4. February 18, 2026, 15:00–15:40 CET - Episode 4: Enzyme engineering for bioremediation
  5. March 4, 2026, 15:00–15:40 CET - Episode 5: Carbon capture with COF-999

Read more about these use cases under Qrunch showcases.

Who Should Join

Chemists, researchers, innovators, and anyone curious about running chemistry calculations on real quantum computers are welcome to join. No prior quantum expertise is needed!

Sign Up

Participation is free. Register now for Episode 1.