Quantum computing for space applications 2025

Session

Morning session

19 Nov 2025, 09:30

H-0-11 (Jagiellonian University)

3. Inserting Quantum Computing into AI chains: experiences in Hybrid Quantum Machine Learning for EO

Paolo Ettore Gamba

19/11/2025, 09:30

Quantum Computing for Earth Observation (QC4EO) is a rapidly emerging, cutting-edge research field. Within this innovative context. In our research we introduced Quanv4EO, a novel quanvolutional approach to pre-process EO data, by extracting detailed feature maps from EO imagery. The resulting features are fed into a classical neural network (NN) to perform specific tasks. This proposed...

4. Quantum Computing for Earth Observation: Current Perspectives and Future Directions

Alessandro Sebastianelli

19/11/2025, 10:30

Quantum computing is emerging as a powerful paradigm for advancing Earth observation, enabling novel approaches to data analysis, image reconstruction, and modeling of complex geophysical processes. Recent research has demonstrated how quantum machine learning and hybrid quantum–classical architectures can potentially enhance the efficiency and interpretability of satellite data workflows....

5. Advancing Quantum Computing for Space at FZJ

Amer Delilbasic

19/11/2025, 11:30

Forschungszentrum Jülich (FZJ) is actively engaged in developing quantum computing infrastructure and methods relevant to space applications. This talk provides an overview of the Jülich UNified Infrastructure for Quantum computing (JUNIQ) and outlines current research directions, with an emphasis on use cases in Earth observation.

6. TBD

Jakub Nalepa

19/11/2025, 12:00

7. Experimental Large-Scale Quantum Approximate Optimization For Ising Problems

Filip Maciejewski

19/11/2025, 12:30

Quantum Approximate Optimization (QAO) is an umbrella term for various methods that attempt to use quantum devices to find solutions to classical combinatorial optimization problems. QAO is widely considered one of the leading candidates for potentially useful quantum computation. In this talk, I will discuss some of our recent efforts on the experimental implementation of the QAO algorithms...

10. Where is the fricking quantum advantage?

Piotr Gawron

20/11/2025, 09:30

We have been looking for applications of quantum computing in Earth observations for almost a decade, yet nothing useful has been found. I believe the field is extremely important and interesting, but we should focus on investigating unconventional ideas—those that touch the foundations of quantum mechanics on one hand and explore computational methods that have emerged around quantum...

11. HPC-QC integration for scalable space data processing

Tomasz Pecyna

20/11/2025, 10:30

This presentation discusses how the convergence of high-performance computing (HPC) and quantum computing (QC) can enable new levels of scalability and efficiency in data-intensive computational workflows. By integrating classical and quantum resources within unified architectures, such hybrid approaches have the potential to significantly improve the processing and analysis of large and...

12. Introduction to ITInnovations

Michal Belina

20/11/2025, 11:30

In the talk, I will introduce IT4Innovations, the Czech Republic’s national supercomputing center, located at VSB – Technical University of Ostrava. I will provide an overview of the center’s mission, infrastructure, and its strategic role within the European high-performance computing (HPC) and quantum computing (QC) ecosystem.

The talk covers the architecture and evolution of...

13. Tuning the Shape and Structure of Quantum Machine Learning Circuits for Optimal Image Recognition

Jiří Tomčala

20/11/2025, 12:30

The enormous amount of data from Earth observations requires machine processing. Quantum computers have the potential to be very helpful in this. When recognizing images using quantum machine learning (QML), classification accuracy is obviously very important. This talk will, among other things, show how the shape and structure of the parameterized quantum circuit (ansatz) used affects this...

17. Is there room for quantum advantage in quantum computing for space science and technology

Enrico Prati

21/11/2025, 09:30

I discuss a number of space applications ranging from job shop scheduling problems, exoplanet observation, earth observation, material design and others in order to address the impact of quantum computing in terms of - but not limited to - quantum speed-up, The role of the different quantum computing hardware technologies is discussed.

18. Quantum Difffusion Models in Earth Observation

Francesco Mauro

21/11/2025, 10:30

Quantum diffusion models are rapidly advancing generative remote-sensing analytics by harnessing quantum computation to deliver higher-quality, more realistic satellite images, while converging faster and with substantially fewer trainable parameters than comparable classical diffusers. In this context, we first realise a fully-quantum latent diffusion model (QLDM) whose denoiser is a...

19. Introduction to Quantum Error Mitigation

Piotr Czarnik

21/11/2025, 11:30

20. TBD

Agata Wijata

21/11/2025, 12:30