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).
Sustainability 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)
Vergelijkbare projecten binnen EIC Accelerator
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|---|---|---|---|---|
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QuiX Quantum Universal Quantum ProcessorQuiX Quantum aims to launch a scalable universal quantum processor by 2026, leveraging photonics to revolutionize industries and overcome current quantum technology limitations. | EIC Accelerator | € 2.470.125 | 2024 | Details |
High-Throughput Quantum Chip DiagnosticsWe are developing the Orange Quantum Diagnostics System to automate and expedite the quality assessment of quantum chips, enabling faster transition from research to industry-grade applications. | EIC Accelerator | € 2.499.999 | 2023 | Details |
Scaling-up quantum computers with quantum memory linksWelinq is developing interconnection technology for modular quantum architectures to enhance qubit scalability and drive global adoption of quantum computing solutions. | EIC Accelerator | € 2.486.312 | 2025 | Details |
Democratizing quantum computing with 3D scalable and customizable quantum processors:
The project aims to revolutionize quantum computing by developing affordable, customizable, and scalable QPUs using innovative technologies, enabling faster access to high-capacity quantum processors.
A MILLION QUBIT QUANTUM COMPUTER - HIGHLY SCALABLE SOLID STATE QUANTUM COMPUTING PLATFORM WITH NATIVE OPTICAL NETWORKING
Quantum Transistors aims to develop a highly scalable quantum computing platform with millions of qubits, using efficient cooling methods for broader adoption and reduced costs.
QuiX Quantum Universal Quantum Processor
QuiX Quantum aims to launch a scalable universal quantum processor by 2026, leveraging photonics to revolutionize industries and overcome current quantum technology limitations.
High-Throughput Quantum Chip Diagnostics
We are developing the Orange Quantum Diagnostics System to automate and expedite the quality assessment of quantum chips, enabling faster transition from research to industry-grade applications.
Scaling-up quantum computers with quantum memory links
Welinq is developing interconnection technology for modular quantum architectures to enhance qubit scalability and drive global adoption of quantum computing solutions.
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 |
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. | Mkb-innovati... | € 298.970 | 2022 | Details |
Quantum Tensor EngineThe Quantum Tensor Engine (QTEngine) aims to provide a user-friendly software framework for efficient implementation of quantum algorithms in simulation, machine learning, and optimization. | ERC Proof of... | € 150.000 | 2024 | Details |
Real-World Commercial Coherent Quantum Annealing TechnologyOur project aims to accelerate quantum computing readiness by providing a full-stack solution with coherent quantum annealers and a Quantum as a Service suite for seamless industry integration. | EIC Transition | € 2.495.000 | 2023 | Details |
Developing Multi-Core Silicon-Based Quantum ProcessorsThe project aims to develop a scalable FDSOI-based quantum processor demonstrator with a 4X4 multi-core architecture to bridge the gap between semiconductor techniques and quantum computing needs. | EIC Transition | € 2.440.870 | 2024 | 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.
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.
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.
Real-World Commercial Coherent Quantum Annealing Technology
Our project aims to accelerate quantum computing readiness by providing a full-stack solution with coherent quantum annealers and a Quantum as a Service suite for seamless industry integration.
Developing Multi-Core Silicon-Based Quantum Processors
The project aims to develop a scalable FDSOI-based quantum processor demonstrator with a 4X4 multi-core architecture to bridge the gap between semiconductor techniques and quantum computing needs.