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Vania López

Amsterdam

The Next Computational Toolkit: Quantum Computing for Chemistry, Pharma and Material Science is a side event of World Summit AI, as part of the community partnership with QDNL Amsterdam.

If you work in biotech, pharma, chemistry, or materials science, this session is for you. Quantum computing is opening up new ways to model molecules, simulate reactions, and accelerate discovery in ways classical computing can't match, and this afternoon is designed to bring that opportunity into focus for people in your field, no prior quantum knowledge needed.

When and where:

Tuesday 6 October | 3:00 - 6:00 PM
Meet Berlage - Amsterdam Center
Oudebrugsteeg 9, 1012 JN, Amsterdam

What to expect:

Discover Quantum Computing - Learn why quantum computing matters for your field, starting from the fundamentals.

State-of-the-Art Showcase - Hear from renowned experts on the latest innovations and developments in the space.

Collaborative Networking - Plenty of time built in for making connections and sparking new innovation projects, with drinks and networking to close out the afternoon.

More details on the full agenda and speaker lineup are coming soon.

Register here: https://ti.to/inspiredminds/world-ai-week-2026/with/gj5xiyem4lw

QDNL Amsterdam side event taking place during World Summit AI / World AI Week 2026

The Next Computational Toolkit: Quantum Computing for Chemistry, Pharma and Material Science

From 4 to 11 July the European Quantum Technology Summer School welcomes you to Amsterdam. This exceptional opportunity is specifically designed for Master's level students who are passionate about quantum technology and its groundbreaking applications.

European QTech Summer School (EQTSS)

QSim is an international annual conference on quantum simulation that aims to bridge theory and experiment, bringing together physicists, engineers, chemists, material scientists, mathematicians, and computer scientists working at the forefront of quantum simulation and related problems that include applications, algorithms, verification, noise, scaling, etc. for both analog and digital approaches.

QSim conference

Quantum Physics and Logic (QPL) is an annual conference that brings together academic and industry researchers working on topics ranging from basic research in the foundations of physics to applications in quantum computing and communication, both for near-term quantum hardware and future large-scale, fault-tolerant devices. The conference places particular emphasis on the application of formal algebraic, logical, compositional, and categorical structures to quantum theory and related areas. Work applying quantum-inspired techniques and structures to other fields, such as (classical) computation, linguistics, artificial intelligence, and causality, is also welcome.

QPL 2026 Conference

World Summit AI is the world's leading AI summit. Across the summit, global leaders, pioneering researchers, ambitious founders, and forward-thinking enterprises come together to explore the technologies, ideas, and collaborations defining the next era of AI. As part of the main program, QDNL-Amsterdam organizes the quantum session, highlighting the latest developments in quantum technology and its growing role alongside AI.

World Summit AI

This summer school, part of the Research Semester Programme ‘Quantum Algorithms and Quantum Error Correction’, will give an introduction to the theory of quantum algorithms (QAs) and quantum error correcting codes (QECs). It will provide the necessary background before moving on to more advanced topics. The school’s lectures will be given by international experts, who will also highlight several recent developments. 

In addition to the lectures, the programme’s schedule includes time for discussions and networking.

Summer school on QA and QEC

This workshop is part of the Research Semester Programme “Quantum Algorithms and Quantum Error Correction”. It will feature a light programme of talks, with plenty of time for collaboration and informal discussion. The theme of the workshop is quantum algorithms, and we welcome contributed talks connected to this broad area. Potential topics include, but are not limited to, transducers, optimization, query complexity, Gibbs sampling, quantum walks, and testing/learning.

Workshop on Quantum Algorithms

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