Quantum-enhanced Machine Learningbroad
QUENML · Horizon Europe grant · 2022-06-01–2024-12-31
EC contribution
Total cost
Beneficiaries
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 |
Get the DFM funding briefing — free
New EU defence calls, tenders and awards in your inbox.
Defence Finance Monitor is an analytical and informational product. Grant data is official CORDIS; payment and subscription happen on DFM Analysis.