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Quantum computing for space applications 2025

19–21 Nov 2025
Jagiellonian University
Europe/Warsaw timezone

Contribution List

21 / 21
1. Registation Opening
19/11/2025, 08:30
2. Workshop Briefing
Artur Miroszewski
19/11/2025, 09:00
21. QUEST turns ONE! Birth of a special Technical Committee
Silvia Liberata Ullo
19/11/2025, 09:15
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 Difffusion Models in Earth Observation
Francesco Mauro
19/11/2025, 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...
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. Integrating Quantum Machine Learning into Earth Observation Analytics: The Journey from the Clouds to the Soil
Jakub Nalepa
19/11/2025, 12:00

Satellite imagery is growing faster than our ability to analyze it. While artificial intelligence (AI) keeps advancing, Earth Observation (EO) still faces practical barriers tied to massive, high-dimensional data. In this talk, we discuss the practical challenges involved in processing EO data and building AI models for EO applications. We then explore how Quantum Machine Learning (QML) can...
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...
8. Trapped Ions Quantum Computing
Bartosz Grygielski, Grzegorz Czelusta
19/11/2025, 14:30
9. Optical alignment of entanglement sources on satellites using reinforcement learning
Akshata Shenoy
19/11/2025, 15:00

Quantum entanglement distributed using satellites enable quantum communication across the globe. Sources that produce entanglement are subject to misalignment due to degradation over a period and outer space conditions. In this work, we ensure optimal alignment of the entanglement source in automation for efficient generation of entangled photon pairs using a heuristic and reinforcement...
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...
14. Data Augmentation for Quantum Machine Learning
Mariia Baidachna
20/11/2025, 14:30

Quantum machine learning faces several bottlenecks that impede its empirical and theoretical computational advantage. One critical challenge is encoding classical data to quantum states. In this work, we present a novel data augmentation strategy applied after encoding, resulting in faster convergence with less data on quantum machine learning models. We demonstrate its effectiveness on...
15. Quantum Gravimetry
Adam Ciesielski
20/11/2025, 15:00
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 Computing for Earth Observation: Current Perspectives and Future Directions
Alessandro Sebastianelli
21/11/2025, 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....
19. Introduction to Quantum Error Mitigation
Piotr Czarnik
21/11/2025, 11:30
20. TRACKING THE INVISIBLE ENEMY: METHANE DETECTION
Agata Wijata
21/11/2025, 12:30

Methane detection and monitoring are crucial for environmental surveillance and emissions management, as methane is a potent greenhouse gas with a global warming potential 28 times higher than carbon dioxide. This task poses practical challenges due to variable concentrations, irregular shapes of methane plumes, and the need for resource-frugal algorithms for onboard satellite processing,...
16. Practical Quantum Encryption and Noise-Resilient Quantum Sensing for Space Applications
Noor Ul Ain Faisal

Space-based quantum systems face unique challenges, including hardware limitations, decoherence, and secure data transmission. This contribution presents a practical approach to implementing quantum encryption protocols using Qiskit, alongside noise-resilient quantum sensing strategies tailored for satellite and near-space environments. By bridging theory with practical simulations, the work...
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