Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Artificial Scientific Discovery of advanced Quantum Hardware with high-performance Simulators

Project description

Quantum experiment design with AI and high-performance simulators

The rapid advancements in generating, controlling, and measuring complex quantum systems have ushered in a new technological era based on quantum superposition and entanglement. However, designing these advanced experiments and hardware has grown too intricate for human researchers to handle alone. To unlock the vast potential of quantum mechanics, AI has been introduced into experiment design, but current methodologies remain limited. This creates a significant barrier to fully exploiting quantum physics’ transformative possibilities. The ERC-funded ARTDISQ project aims to break these limitations by leveraging JAX, a cutting-edge computational framework, to build high-performance physical simulators. These simulators will power AI-driven breakthroughs in quantum-enhanced gravitational wave detection, advanced imaging techniques, and revolutionary quantum hardware design.

Objective

The experimental capabilities to generate, control, and measure complex quantum systems have dramatically improved over the last few years. With ingenious proposals for practical applications, a powerful new paradigm of technology emerges that exploits quantum superposition and quantum entanglement. As these systems get more advanced, designing new quantum experiments and hardware becomes ever more intricate for human scientists. To exploit the full potential of quantum physics, researchers have started to involve artificial intelligence in the automated design of quantum experiments. Unfortunately, even the currently most powerful methodologies have severe limitations and therefore cannot cope with the enormous potential that quantum mechanics promises us.

For that reason, in ARTDISQ, I propose to build high-performance physical simulators which are at the heart of all AI-driven discovery and design efforts. The key idea is to use a framework originally developed for the efficient training and execution of large neural networks, called JAX. JAX is powerful enough to encode not only neural networks but a wide range of computer algorithms. It allows for modern high-performance computational techniques such as just-in-time compilation, auto-differentiation and direct access to the GPU. In ARTDISQ I will exploit this dramatic acceleration, which will open previously unchartered applications, including AI-driven
(1) design of highly sensitive and robust quantum-enhanced gravitational wave detectors
(2) design of new quantum techniques for imaging systems, with a focus on optical telescopes
(3) hardware-software co-design for quantum hardware with the potential of discovering highly
unorthodox and exotic solutions with superior behaviour.

As such, ARTDISQ aims to develop a revolutionary way to augment human researchers' ingenuity and creativity to accelerate scientific discoveries.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

This project has not yet been classified with EuroSciVoc.
Be the first one to suggest relevant scientific fields and help us improve our classification service

You need to log in or register to use this function

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-ERC - HORIZON ERC Grants

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2024-STG

See all projects funded under this call

Host institution

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 460 660,36
Address
GESCHWISTER-SCHOLL-PLATZ
72074 Tuebingen
Germany

See on map

Region
Baden-Württemberg Tübingen Tübingen, Landkreis
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 460 660,61

Beneficiaries (2)

My booklet 0 0