Workshop: Quantum for Earth Observation

Quantum Processing of Big Data: from Quantum Computing to Earth Observation


On 3 April 2019 a workshop was held at La Sapienza University in Rome, on the application of Quantum Computing for Earth Observation (with a focus on downstream data exploitation). The workshop had the following aims:

  • Introduce the Quantum Computing and Earth Observation communities (from both research and industry)
  • Explore possible synergies between the two technologies
  • Prepare the ground for the opportunities that will be presented when the quantum community will be able to produce software for quantum-enhanced optimisation problems of direct use in big data management.

The workshop was jointly organised by ESA, the COST Action QTSPace (CA15220) and La Sapienza University of Rome. It was held on the occasion of the Fifth Quantum Technologies Conference

Participants of the Quantum Computing Workshop


  Wednesday 3 April
09.00-09.30 Registration and Coffee break
09.30-09.40 Welcome and Introduction
09.40-09.55 Earth observation opportunities and challenges

Gordon Campbell, European Space Agency

09.55-10.10 Quantum Information processing: Opportunities and challenges

Mauro Paternostro, Queen’s University Belfast

10.10-10.30 Quantum resources for EO technology

Mihai Datcu, German Aerospace Center (DLR)

10.30-10.50 Quantum computing for EO mission planning

Mathieu Picard Airbus

10.50-11.10 HPC for spacestream: the future of EO!

Cristoforo Abbattista, Planetek

11.10-11.40 Coffee break
11.40-12.00 Quantum Computing for Aerospace Applications

Tobias Stollenwerk, German Aerospace Center (DLR)

12.00-12.20 Deep Learning for Earth Observation

Andrea Pomente & Leonardo De Laurentiis, University of Rome Tor Vergata

12.20-13.40 Lunch
13.40-14.10 From Quantum machine learning to Quantum AI

Vedran Dunjko, Leiden University

14.10-14.40 Quantum Machine Learning with Quantum Technologies

Lucas Lamata, University of the Basque Country

14.40-15.00 The Born Supremacy: The Training and Quantum Advantage of the Ising Born Machine Learning

Daniel Mills, The University of Edinburgh

15.00-15.20 Integrated photonic platform for quantum machine learning

Nicolò Spagnolo, La Sapienza Università di Roma


15.20-16.00 Panel discussion and closing remarks

Scientific Committee

  • Chris Stewart, European Space Agency
  • Angelo Bassi, University of Trieste
  • Mauro Paternostro, Queen’s University Belfast
  • Fabio Sciarrino, Università di Roma “La Sapienza”

Local Organizing Committee

  • Gonzalo Carvacho, Università di Roma “La Sapienza”
  • Giuliana Pensa, Università di Roma “La Sapienza”





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