The "Quantum Spaceship" consists of a network of scientists and industrial partners as well as of an Advisory Board (http://www.qtspace.eu/?q=quantumspaceship). It will meet to discuss and finalize the Policy White Paper on QT in Space, which will be subsequently handed over to the EC. The goal is to present a clear roadmap for the development of QT in space for the November 2019 ESA council meeting.
Activities
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Monday, May 6, 2019 First meeting of the Quantum SpaceshipMunich (Germany) |
Monday, April 15, 2019 to Wednesday, April 17, 2019 Large-Mass Quantum Interferometry in MicrogravityBremen (Germany) The workshop will bring together experts in the fields of matter wave interferometry, levitated optomechanics, and microgravity research to explore prove of principle and technology testing capabilities for future quantum technologies in space based on large-mass matter wave interferometry. Therefore the workshop aligns perfectly with the agenda of WG2&3 of the COST action QTSpace. |
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Thursday, April 11, 2019 to Friday, April 12, 2019 Next steps towards a quantum physics platform in spaceOlomouc (Czech Republic) The goal of the meeting is to foster the formation of a consortium to push the future implementation of a space mission to test the foundations of physics. Particular effort will be put on discussing necessary technology developments in the handling of high-mass test particles and in assuring the required environmental conditions for macroscopic quantum experiments in space. |
Wednesday, April 3, 2019 Quantum Processing of Big Data: from quantum computing to earth observationRome (Italy) The focus of the workshop is on the application of Quantum Computing for downstream data processing and Earth Observation data exploitation. It aims to 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. Together with Machine Learning, Quantum Computing has the potential to be a game-changer in data science and applications. |
