SubsidieMeestersQuantum-enhanced Machine Learning
Equal1 aims to finalize a scalable, sustainable quantum processor chip for AI applications, enhancing machine learning capabilities while reducing carbon footprint.
Projectdetails
Introduction
Equal1 leverages commercially available semiconductor technology to deliver quantum-enhanced machine learning solutions that empower businesses to overcome data-intensive AI challenges today.
Technology Overview
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.
Project Goals
Through this project, we will:
- Finalize the next generation version of our QPU (codenamed Bluefin).
- Scale the number of physical qubits to 64K in a quantum neural network array.
- Integrate it within our workstation-sized MVP demonstrator (Aquaris).
Environmental Impact
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.
Customer Benefits
We will enable our customers to continue to leverage the power of AI to develop useful, real-world solutions.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.500.000 |
| Totale projectbegroting | € 5.358.750 |
Tijdlijn
| Startdatum | 1-6-2022 |
| Einddatum | 31-12-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- EQUAL 1 LABORATORIES IRELAND LIMITEDpenvoerder
- EQUAL1 LABORATORIES ROMANIA S.R.L.
Land(en)
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Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Scalable Hardware for Large-Scale Quantum ComputingDeveloping a scalable, fault-tolerant quantum computer using advanced cryo-CMOS technology to enhance precision and efficiency in processing complex data across various fields. | EIC Transition | € 2.499.998 | 2023 | Details |
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Q-NETQphoX en Q*BIRD ontwikkelen een quantum connectie tussen QPU's via Transducers en een Central Hub om de toegankelijkheid van quantumtechnologie te vergroten en langeafstandverbindingen mogelijk te maken. | MIT R&D Samenwerking | € 298.970 | 2022 | Details |
Scalable Hardware for Large-Scale Quantum Computing
Developing a scalable, fault-tolerant quantum computer using advanced cryo-CMOS technology to enhance precision and efficiency in processing complex data across various fields.
Quantum Tensor Engine
The Quantum Tensor Engine (QTEngine) aims to provide a user-friendly software framework for efficient implementation of quantum algorithms in simulation, machine learning, and optimization.
Q-NET
QphoX en Q*BIRD ontwikkelen een quantum connectie tussen QPU's via Transducers en een Central Hub om de toegankelijkheid van quantumtechnologie te vergroten en langeafstandverbindingen mogelijk te maken.