SubsidieMeestersAccelerating Quantum Technology Development with Machine Learning
The project aims to commercialize QruiseOS for quantum technology by applying optimal control and machine learning, enhancing its maturity and enabling small labs to compete in the market.
Projectdetails
Introduction
The field of quantum technologies encompasses a wide range of very different devices which must operate at the very edge of what is feasible. Results are noisy and only become clear if repeated many times and careful statistics are gathered. We are applying optimal control theory, optimization theory, and machine learning to the challenge of controlling, characterizing, and calibrating quantum technology devices in general, and quantum computers specifically.
Company Background
Qruise (as in cruise control) is a young software startup from Forschungszentrum Jülich and Padova University, and the OpenSuperQ EU quantum flagship project, created for the purpose of commercializing the founders’ collective experience in the control of quantum systems. Prof. Frank Wilhelm-Mauch, one of our co-founders, was the coordinator of the OpenSuperQ project (project no. 820363, started on 01.10.2018 and finished on 31.04.2022).
Project Objectives
Our project will increase the maturity of the Qruise technology via TRL 5-6 level activities of research, technology development, and validation with pilot partners. In the end, we will deliver a viable demonstrator with fully vertically integrated components: QruiseOS. With QruiseOS, quantum technology development can be significantly accelerated, allowing even small academic labs and startups to compete with the large players in the field.
Commercial Readiness
This project covers all necessary steps for full commercial readiness, including:
- Problem/solution validation
- Market research
- Competition analysis
- Establishing IP strategy
- Ensuring regulatory compliance
- Stakeholder engagements
- Dissemination activities
- Construction of a detailed business plan
- Securing future funding
After the completion of this project, we will apply to the EIC accelerator program while simultaneously seeking private investments to further mature the technology (towards TRL 7-8) and get ready for commercial scale-up (TRL 9).
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.000 |
| Totale projectbegroting | € 2.499.000 |
Tijdlijn
| Startdatum | 1-1-2023 |
| Einddatum | 30-6-2025 |
| Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- QRUISE GMBHpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Transition
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Advanced lasers for quantum technologiesAQLAS aims to develop an affordable, compact laser module for quantum computers, enhancing performance and accessibility while establishing a sustainable quantum industry in Europe. | EIC Transition | € 2.483.740 | 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 |
Germanium quantum processors: more, robust, availableGroove aims to develop scalable germanium-based qubits for quantum computing, achieving 16 qubits for cloud access while preparing a start-up to meet market demands and advance the EU's quantum ambitions. | EIC Transition | € 2.499.999 | 2023 | Details |
Advanced lasers for quantum technologies
AQLAS aims to develop an affordable, compact laser module for quantum computers, enhancing performance and accessibility while establishing a sustainable quantum industry in Europe.
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.
Germanium quantum processors: more, robust, available
Groove aims to develop scalable germanium-based qubits for quantum computing, achieving 16 qubits for cloud access while preparing a start-up to meet market demands and advance the EU's quantum ambitions.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Automating quantum control with machine learningQuantrolox develops quantum autopilot software to automatically tune quantum computers, enhancing their uptime and accelerating development cycles for a robust quantum computing industry. | EIC Accelerator | € 2.495.500 | 2023 | Details |
Beyond-classical Machine learning and AI for Quantum PhysicsThis project aims to identify quantum many-body problems with significant advantages over classical methods and develop new quantum machine learning techniques to solve them effectively. | ERC Consolid... | € 1.995.289 | 2024 | Details |
Ontwikkeling Quantum Control HighwayDit R&D-project richt zich op het ontwikkelen van een gestandaardiseerd modulair systeem voor kwantumcomputerinfrastructuur, waarmee opschaling van 16 tot 1024 qubits mogelijk wordt, met aanzienlijke economische voordelen. | Mkb-innovati... | € 194.894 | 2019 | Details |
Haalbaarheidsonderzoek ontwikkeling QuasarHet project onderzoekt de haalbaarheid van innovatieve elektronica voor quantumcomputers, ontwikkeld door Qblox uit QuTech, om complexe controlesystemen te vereenvoudigen en wereldwijd te commercialiseren. | Mkb-innovati... | € 20.000 | 2020 | Details |
QuantifyQblox en Orange Quantum Systems ontwikkelen samen Quantify, een softwareoplossing die de kalibratie en aansturing van quantumcomputers vereenvoudigt, waardoor quantumtechnologie toegankelijker wordt. | Mkb-innovati... | € 200.000 | 2020 | Details |
Automating quantum control with machine learning
Quantrolox develops quantum autopilot software to automatically tune quantum computers, enhancing their uptime and accelerating development cycles for a robust quantum computing industry.
Beyond-classical Machine learning and AI for Quantum Physics
This project aims to identify quantum many-body problems with significant advantages over classical methods and develop new quantum machine learning techniques to solve them effectively.
Ontwikkeling Quantum Control Highway
Dit R&D-project richt zich op het ontwikkelen van een gestandaardiseerd modulair systeem voor kwantumcomputerinfrastructuur, waarmee opschaling van 16 tot 1024 qubits mogelijk wordt, met aanzienlijke economische voordelen.
Haalbaarheidsonderzoek ontwikkeling Quasar
Het project onderzoekt de haalbaarheid van innovatieve elektronica voor quantumcomputers, ontwikkeld door Qblox uit QuTech, om complexe controlesystemen te vereenvoudigen en wereldwijd te commercialiseren.
Quantify
Qblox en Orange Quantum Systems ontwikkelen samen Quantify, een softwareoplossing die de kalibratie en aansturing van quantumcomputers vereenvoudigt, waardoor quantumtechnologie toegankelijker wordt.