DFM Funding Monitor

Quantum-enhanced Machine Learningbroad

QUENML · Horizon Europe grant · 2022-06-01–2024-12-31

EC contribution

€2,500,000

Total cost

€5,358,750

Beneficiaries

2

About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2021-ACCELERATOROPEN-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2021-ACCELERATOROPEN-01. CORDIS record →

Objective

Equal1 leverages commercially available semiconductor technology to deliver quantum-enhanced machine learning solutions that empower businesses to overcome data-intensive AI challenges today. We design quantum processor chips (QPUs) based on silicon qubit technology and integrate them into a cryogenic system running at -270 degrees C. Our first server-sized prototype (Alice) has already demonstrated massive acceleration for AI applications. Through this project, we will finalize the next generation version of our QPU (codenamed Bluefin, number of physical qubits scaled to 64K in a quantum neural network array) and integrate it within our workstation-sized MVP demonstrator (Aquaris). With its much smaller carbon footprint, our scalable, cost-effective technology provides a path that will impact the trajectory of AI by making it more sustainable. We will enable our customers to continue to leverage the power of AI to develop useful, real-world solutions.

Beneficiaries (2)

Organisation	Country	Role	EC contribution	SME
EQUAL 1 LABORATORIES IRELAND LIMITED	IE	coordinator	€2,500,000	Yes
EQUAL1 LABORATORIES ROMANIA S.R.L.	RO	thirdParty	€0	Yes

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