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Advanced quantum computing with trapped ions

Objective

This project focuses on scalability, availability, and applicability aspects of trapped-ion quantum computers, tackling the transition from current laboratory-based experiments to industry-grade quantum computing technologies. This project will provide the technological framework for quantum computers to solve real-world problems inaccessible to current classical computers. Taking advantage of the unrivalled low error rates of operations available in trapped-ion quantum processors today, we will develop a fully connected 50-qubit device, allowing the implementation of calculations that are out of the reach of classical computers. The system will enable straightforward high-level user access via a robust hardware and software stack, allowing remote execution of complex algorithms without hardware-specific knowledge. We will pave the way to large-scale and fault-tolerant quantum computing by introducing long-range connectivity via ion-shuttling between sub-processors and by establishing remote operations between quantum processors using photonic interconnects. These scalable techniques will make systems exceeding thousands of qubits possible, in combination with error correction and entanglement purification techniques. Within this project, we will combine these quantum information techniques with trap fabrication and packaging technologies which integrate optical and electronic components to achieve stable long-term operation in an industrial environment. These scientific and technological advances will provide a powerful platform to demonstrate trapped-ion quantum computers capable of solving problems of major commercial importance including computational problems in chemistry and machine learning.

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/computer hardware/quantum computer
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-FETFLAG-2018-03
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITAET INNSBRUCK
Address
Innrain 52
6020 Innsbruck
Austria
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 954 521

Participants (8)

TOPTICA PHOTONICS AG
Germany
EU contribution
€ 1 078 125
Address
Lochhamer Schlag 19
82166 Graefelfing
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BULL SAS
France
EU contribution
€ 727 588
Address
Rue Jean Jaures 68
78340 Les Clayes Sous Bois
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
JOHANNES GUTENBERG-UNIVERSITAT MAINZ
Germany
EU contribution
€ 973 255
Address
Saarstrasse 21
55122 Mainz
Activity type
Higher or Secondary Education Establishments
SWANSEA UNIVERSITY
United Kingdom
EU contribution
€ 525 922
Address
Singleton Park
SA2 8PP Swansea
Activity type
Higher or Secondary Education Establishments
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
United Kingdom
EU contribution
€ 1 586 827
Address
Wellington Square University Offices
OX1 2JD Oxford
Activity type
Higher or Secondary Education Establishments
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland
EU contribution
€ 1 769 501
Address
Raemistrasse 101
8092 Zuerich
Activity type
Higher or Secondary Education Establishments
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 871 511
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
AKKA DSW GMBH
Germany
EU contribution
€ 100 000
Address
Hortensienweg 21
70374 Stuttgart
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)