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Quantum Generative Adversarial Networks with phoTonic Integrated Circuits (QuGANTIC)

Project description

Breakthrough quantum platform charts a path towards quantum advantage

Quantum computers have the potential to tackle problems that today’s computers cannot handle. Those devices based on quantum digits – qudits – may prove better at tackling complex problems than their qubit counterparts, demonstrating greater computational capacity, accuracy, speed and noise robustness with fewer components. Funded by the European Innovation Council, the QuGANTIC project aims to design the first photonic quantum computer using qudits generated by quantum frequency combs. The envisioned quantum platform will have important implications for quantum machine learning, specifically generative adversarial networks, which are very promising for automatically learning and discovering patterns in data input.

Objective

The rapidly growing global adaptation of digital technologies has brought an exponential increase in data and computing power consumption, and conventional supercomputers are now reaching their limit in terms of power and energy efficiency. Quantum computers have garnered attention as a way to overcome the struggles of classical computers. Technological progress is happening fast, but the so-called quantum advantage results reported have no meaningful real-world tasks yet, and severe scaling problems remain. An alternative strategy of encoding information in high-dimensional spaces (using quDits rather than qubits) is extremely promising for enhancing computational capacity, accuracy, speed, and noise robustness. However, this approach is still in its infancy.

QuGANTIC proposes a science-towards-technology breakthrough in scalable data loading and learning with quantum processors, based on a novel concept of hybrid integration on a single photonic integrated chip (PIC). Our innovative target is the first quantum computer using quDits generated by quantum frequency combs with the potential to execute operations in a reduced number of steps and provide the first scalable PIC quantum computer.

Learning distributions of data and generating artificial samples is a formidable task for classical computers, and we will use our novel quDit PIC platform to demonstrate that so-called quantum Generative Adversarial Networks can solve this task far better than classical systems.

Our goal will make an unprecedented impact on economy, science and society, as it will predict the behavior of globally critical areas such as energy distribution, weather phenomena, risk assessments and epidemic spreads, by processing vast data sets with a drastic reduction of computational overheads. Our processors have a credible path to market, and QuGANTIC has the right hardware and software Partners to realize this enormous potential.

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Keywords

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Programme(s)

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Topic(s)

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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-EIC - HORIZON EIC Grants

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Call for proposal

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

(opens in new window) HORIZON-EIC-2022-PATHFINDEROPEN-01

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Coordinator

AARHUS UNIVERSITET
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.

€ 481 700,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
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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.

€ 481 700,00

Participants (4)

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