Quantum Machine Learning

EuroHPC JU HORIZON-JU is funding Research and Innovation Actions on Quantum Machine Learning with an indicative budget of €6,000,000 to award two projects. Per-project EU contribution is between €2,000,000 and €3,000,000 at up to 50% of eligible costs for projects of 48 months duration. Eligible consortia must include at least three independent legal entities established in EU Member States, Horizon Europe Associated Countries or EuroHPC Participating States and address NISQ-aware QML methods, benchmarking, demonstrators and TRL progression from approximately 3/4 to 5/6, with software preferably licensed under EUPL-1.2 and deposited on code.europa.eu. Proposals must be submitted in a single-stage via the EU Funding & Tenders Portal by 28 January 2027, 17:00 CET.

What it funds

Scope and expected outcomes

Research and innovation actions to develop, validate and demonstrate quantum machine learning (QML) methods, noise-aware NISQ-era techniques, error mitigation, benchmarking and demonstrators integrated with classical AI pipelines for data-heavy and computationally intensive applications; work must progress TRL from about 3/4 to 5/6 and strengthen European leadership, standards and industrial uptake.

Typical award size and budget:Expected grants: 2 projects; indicative per-project EU contribution typically €2 000 000 to €3 000 000; call-level indicative budget shown for 2026 is €6 000 000. Note: EU funding rate for this topic will be up to 50% of eligible costs ¹ .

Who can apply

Legal entities established in EU Member States, Horizon Europe Associated Countries and EuroHPC JU Participating States only (participants established elsewhere are ineligible for funding). Consortia must meet Horizon Europe eligibility rules for Research and Innovation Actions; participation is restricted on strategic grounds to safeguard EU open strategic autonomy.

Project features & duration

Single-stage RIA; expected project duration 48 months; activities should include algorithm design, complexity analysis, benchmarking, NISQ-aware methods, hybrid QML models, application demonstrators (e.g. climate, Earth observation, healthcare, materials, finance) and an IP/licensing plan aligned with the European Union Public Licence (EUPL-1.2).

Key eligibility and selection highlights

1. 1Participation limited to entities established in Member States, Associated Countries and EuroHPC Participating States
2. 2Call implemented as HORIZON JU Research and Innovation Actions (RIA); EU funding rate up to 50% of eligible costs
3. 3Proposals must address multiple QML research directions and show path to practical applications and TRL progression
4. 4Open software must be released under EUPL-1.2 or compatible OSI licence and code.europa.eu reuse is expected
5. 5Selected consortia should engage with standardisation and Quantum Flagship agendas

Applications are submitted through the EU Funding & Tenders Portal; proposals must respect Horizon Europe annexes, eligibility, page limits and evaluation rules. Strategic restrictions apply to protect digital infrastructure and sovereignty; check the topic conditions for country lists and exclusions HORIZON-JU-EUROHPC-2026-QML-07-01 ¹.

Footnotes

1. 1Topic page and full call documentation at HORIZON-JU on the EU Funding & Tenders Portal: ec.europa.eu

Core facts

Call title:Quantum Machine Learning. Call identifier: HORIZON-JU. Funding body: EuroHPC Joint Undertaking in cooperation with Horizon Europe. Type of action: HORIZON JU Research and Innovation Actions (RIA) under a EuroHPC Joint Undertaking Work Programme call. Submission procedure: single-stage electronic submission via the EU Funding & Tenders Portal. Deadline: 28 January 2027. Expected project duration: 48 months.

Call aim:Develop, validate and demonstrate Quantum Machine Learning (QML) algorithms, models and software suited to NISQ-era devices and scalable paths to TRL 5/6. Demonstrate noise-aware, error-mitigated, quantum-enhanced AI components integrated into classical AI pipelines and provide rigorous benchmarking and complexity analysis showing measurable advantages over classical baselines in speed, accuracy, data efficiency, complexity or scalability. Promote demonstrators in application domains and strengthen European leadership, standards and community building.

Expected outcomes and scope

The call expects projects that pursue multiple key QML research directions and industrial relevance. Outcomes sought include: integration of quantum computing into data pre-processing and learning workflows for data-heavy tasks; reliable noise-aware QML techniques for NISQ hardware with error mitigation; validated methods with rigorous benchmarking and complexity analysis; demonstrators or proofs-of-concept in real-world domains such as climate modelling, earth observation, healthcare, drug discovery, materials discovery, finance, robotics, manufacturing and cybersecurity; contributions to standards and best practices; and strengthened European technological sovereignty in quantum computing and trustworthy AI.

What applicants should address

1. 1Design and analysis of quantum, quantum-inspired and hybrid QML algorithms and architectures, including quantum-native models, efficient quantum kernels and feature mappings.
2. 2Performance modelling, theoretical complexity analysis and empirical benchmarking demonstrating provable or empirical advantage over classical methods where possible.
3. 3Development of error mitigation and noise-aware strategies specific to QML workloads and reproducible demonstrations on real quantum processors.
4. 4Scalable QML algorithms and hybrid workflows able to handle large data volumes and computationally intensive tasks, and integration into classical AI pipelines and existing frameworks.
5. 5Demonstrators addressing real-world use cases (e.g. hydrology, climate modelling, satellite remote sensing, drug discovery, image-based medical diagnosis, robotics and cybersecurity).
6. 6Clear IP plan and licensing strategy favouring the European Union Public Licence (EUPL-1.2) or compatible OSI-approved licences; publication of code on code.europa.eu if compatible with repository policy.
7. 7Engagement with standardisation bodies (CEN/CENELEC, JTC 22) and collaboration with the Quantum Flagship and EuroHPC ecosystem.

Compliance, licensing and open science

All developed software is expected to be made available to user communities under the European Union Public Licence (EUPL-1.2) as the preferred default licence or other OSI-approved licences compatible with the EUPL. Proposals are expected to leverage the code.europa.eu repository and provide supporting data and documentation if compatible with repository policy. Projects must follow Horizon Europe ethics, open science, IP, data protection and research integrity rules and contribute to standardisation and benchmark development.

Direct eligibility and participation restrictions

Participation is limited to legal entities established in EU Member States, Horizon Europe Associated Countries and EuroHPC JU Participating States. Legal entities established in non-eligible third countries listed as ineligible in the topic text are not allowed. This restriction is justified on grounds of protecting EU open strategic autonomy in this sensitive area. The EU-funding rate for eligible costs for grants awarded by the JU for this topic is up to 50% of eligible costs (exception to general Horizon Europe rates). The page limit for applications is 70 pages. Proposals must follow requirements in General Annexes, including annexes A, B, C, D and others referenced in the topic.

Budget and funding model

Type of grant:HORIZON Action Grant (budget-based). The EuroHPC Work Programme provides topic-level indicative budgets. For this topic the EuroHPC JU indicates: expected number of grants 2 with an estimated minimum contribution per project of €2 000 000 and maximum contribution per project of €3 000 000; budget year mapping in 2026 shows €6 000 000 available for the topic action grouping. The EuroHPC Joint Undertaking applies an EU funding rate up to 50% of eligible costs for grants in this topic (an exception from standard Horizon Europe funding rates). Projects are expected to start at TRL 3/4 and reach TRL 5/6 by project end (48 months).

Administrative and procedural details

1. 1Submission system: Electronic submission only through the EU Funding & Tenders Portal (Submission Service).
2. 2Page limit: 70 pages (topic-specific limit). Proposal layout: Part B template in the Submission System.
3. 3Submission model: single-stage (one-step) evaluation and award procedure.
4. 4Evaluation and selection: standard Horizon Europe RIA evaluation criteria (Excellence, Impact, Implementation) using standard HE evaluation forms adapted to RIA and JU rules.
5. 5Expected project duration: 48 months.
6. 6Reporting, payments and grant management will follow Horizon Europe General Annexes and relevant EuroHPC JU procedures and Model Grant Agreement (HORIZON-AG budget-based).

Eligibility: types of applicants

Eligible applicant types:legal entities including universities, research institutes, public bodies, SMEs, large enterprises, non-profit organisations, industry partners (including quantum hardware and software vendors), research infrastructures, and international European research organisations established in eligible countries (EU Member States, Horizon Europe Associated Countries and EuroHPC JU Participating States). Consortia should include cross-sector partners (academia, research infrastructures, industry, SMEs, healthcare, environmental research organisations and public sector users) where industrial relevance is sought. Individual applicants are not eligible to apply as sole beneficiaries for HORIZON JU RIA actions; the topic anticipates multi-party consortia (see consortium requirement below).

Eligible applicant types (concise list):Universities, research institutes, research infrastructures, SMEs, large enterprises, non-profit organisations, public bodies, international European research organisations, and other legal entities established in eligible countries. Associated partners and affiliated entities may participate according to rules set out in General Annexes.

Categorisation answers (structured extraction)

1. 1Eligible Applicant Types: startup (via SME participation), SME, large enterprise, university, research institute, research infrastructure, non-profit, public body/government, international European research organisation, hospital and clinical research centres (for healthcare use cases), and others from the EU quantum ecosystem. Individual natural persons are not eligible as the main beneficiary in this HORIZON JU RIA topic.
2. 2Funding Type: grant (budget-based action grant under Horizon Action Grant model).
3. 3Consortium Requirement: consortium is expected and strongly encouraged; the call is for Research and Innovation Actions (HORIZON-JU-RIA) which typically require multi-beneficiary consortia — the EuroHPC topic text specifically encourages cross-sector collaboration between academia, research infrastructures, industry and SMEs. The Submission Procedure is single-stage, multi-beneficiary proposals are envisaged.
4. 4Beneficiary Scope (Geographic Eligibility): restricted to legal entities established in EU Member States, Horizon Europe Associated Countries and EuroHPC JU Participating States. Non-eligible third-country participants make projects ineligible. The work programme explicitly lists the eligible countries and states that participation is limited on grounds of protecting EU open strategic autonomy.
5. 5Target Sector: primary targets are quantum computing and artificial intelligence/machine learning (QML) with demonstrators across sectors including climate and environment, Earth observation, healthcare and life sciences, materials discovery, finance, robotics, manufacturing, cybersecurity and industrial computing. Technology focus includes QPUs, NISQ-era hardware, hybrid quantum-classical systems, quantum-native learning models, quantum kernels, QCNNs, QRL, quantum generative models and algorithmic discovery.
6. 6Mentioned Countries: the topic and Work Programme list eligible country categories and participating states. Explicit country mentions within topic documentation include EU Member States and a long list of Associated and Participating States. Examples and explicitly listed countries in the EuroHPC eligibility passage include: Albania, Armenia, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Georgia, Greece, Hungary, Iceland, Ireland, Israel, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Malta, Moldova, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye, United Kingdom; list reflects Horizon Europe participating country list and EuroHPC Participating States. Note: participation in this topic is limited to Member States, Associated Countries and EuroHPC JU Participating States; legal entities established elsewhere will be ineligible.
7. 7Project Stage: projects are expected to start at TRL 3/4 (experimental proof of concept/technology validated in lab) and reach TRL 5/6 (validated in relevant/industrial environment / technology demonstrated in relevant environment) by project end.
8. 8Funding Amount: indicative topic-level resource mapping shows an action-level grant size of minimum €2 000 000 and maximum €3 000 000 per project for the expected 2 grants; topic budget mapped in 2026 is €6 000 000. EuroHPC JU Work Programme shows broader programme-level budgets (millions) for related quantum and AI activities; applicants should expect multi-million-euro awards per selected project.
9. 9Application Type: open call for proposals (single-stage), submitted electronically via the Funding & Tenders Portal. The call status is Open and Partner Search is allowed via the Portal. Page limit 70 pages.
10. 10Nature of Support: money (grant funding) to reimburse eligible costs up to the maximum grant amount with an EU contribution rate up to 50% of eligible costs for this JU topic; in-kind contribution and non-monetary support (access to EuroHPC systems, quantum resources, testbeds) is expected through EuroHPC infrastructure partnerships but core beneficiary support is monetary grant funding.
11. 11Application Stages: single-stage submission and evaluation. Applicants submit one full proposal and pass one evaluation stage (admissibility/eligibility then merit review) — therefore number of stages = 1 (single-stage).
12. 12Success Rates: the Work Programme does not publish a numerical success rate for this specific topic. Indicative expected grants are 2 projects; selection will be competitive and success depends on meeting evaluation thresholds for Excellence, Impact and Implementation and available budget. Historical success rates for high-demand Horizon calls are typically low; applicants should plan accordingly.
13. 13Co-funding Requirement: yes. The JU Work Programme indicates EU funding up to 50% of eligible costs for grants in this topic; Participating States are expected to match the remaining contribution (50% PS contribution). Therefore applicants must plan to provide or secure co-funding for the non-EU-funded share of eligible costs (from other public or private sources) or draw on national/Participating State co-funding arrangements.
14. 14Templates: applicants must use the online Application Form in the Submission System. The Work Programme and Portal provide templates and reference documents, including: the Application Form Part A and Part B template, the model grant agreement HORIZON-AG, General Annexes Part A/B/C etc., evaluation and budget templates, and guidance documents. Page limit for full proposal 70 pages. Specific templates referenced include Standard evaluation forms, model grant agreements, application form templates in the submission system and guidance documents such as the HE Programme Guide, HE General Annexes and the Funding & Tenders Portal Online Manual. For code/software, use code.europa.eu repository where policy-compatible.

Application and submission specifics (templates, checks and legal rules)

Submission uses the Funding & Tenders Portal Electronic Submission Service. Applicants must use the application form available in the Submission System (Part A online, Part B PDF upload). The proposal page limit is 70 pages. Applicants should follow the Horizon Europe General Annexes, in particular General Annex A (admissibility), B (eligibility, financial capacity), D (award criteria), E (documents), F (procedure) and G (grant agreement rules). Supporting documents include legal entity validation data in the Participant Register and any required certificates during grant preparation. Proposals must comply with ethics, security and IP rules and include an IP plan that favours EUPL-1.2 or compatible OSI licences; software should be placed on code.europa.eu where applicable.

Technology and scientific details expected (technical excellence)

Proposals should combine deep theoretical analysis (complexity theory, formal proofs where possible), algorithm design and empirical validation on simulators and real quantum hardware. Topics of interest include quantum-native learning architectures, parametrised quantum circuits with provable generalisation properties, efficient quantum kernels/feature maps, QCNN structures for pattern recognition, QRL algorithms for high-dimensional control tasks, quantum unsupervised approaches such as spectral clustering and anomaly detection, quantum generative models including diffusion models, hybrid training strategies, and quantum AI for algorithmic discovery. Robustness to noise and realistic NISQ constraints (error mitigation, noise-aware training, reproducibility on real QPUs) must be central. Proposals should include benchmarking against classical baselines, rigorous performance modelling, and clear evaluation metrics (speed, sample complexity, training time, predictive performance and complexity scaling). Integration into existing AI frameworks and end-to-end pipelines is required for industrial relevance.

Applicant requirements and consortium composition

The call strongly encourages multi-disciplinary consortia combining quantum hardware providers and testbeds, HPC/EuroHPC infrastructure partners, AI/ML researchers, domain application owners (climate science, remote sensing, healthcare, materials, finance), SMEs and industry adopters, and standardisation experts. Proposals must demonstrate complementarity across partners, a clear exploitation and IP/licensing plan under EUPL or compatible licences, and a pathway to industrial uptake within EU and participating states. The consortium must comply with Horizon/EuroHPC eligibility rules and country participation restrictions; legal entities from non-eligible countries will render the proposal ineligible.

Funding and budget notes

EuroHPC JU indicates a topic-level budget with expected grants between €2 000 000 and €3 000 000 per project for two grants. The JU applies an EU funding rate up to 50% of eligible costs for this topic (exception to usual Horizon rates). Projects must plan the remaining 50% co-funding from Participating States, national funding, industry or other sources. Expected project duration 48 months with pathway from TRL 3/4 to TRL 5/6. Applicants should prepare a detailed eligible-costs budget table in the Submission System; lump sums are not the default for this RIA.

Evaluation and award

Evaluation follows Horizon Europe RIA standard criteria (Excellence, Impact, Implementation), with thresholds per criterion and an overall threshold. Evaluation will be performed by independent experts using standard HE evaluation templates adapted for JU RIA calls. The call is single-stage. Successful proposals that meet thresholds and are within budget will be invited to grant preparation. Eligible proposals exceeding thresholds but not funded due to budget limitations may be awarded a STEP Seal or Seal of Excellence according to Work Programme rules.

Security and eligibility restrictions

Due to strategic sensitivity, participation is limited to entities established in Member States, Associated Countries and EuroHPC JU Participating States. Entities from non-eligible third countries are ineligible. Additional restrictions may apply for entities assessed as high-risk suppliers (see work programme on 5G/toolbox references) and for actions touching strategic digital infrastructures. Proposals must declare compliance with these restrictions and with the security provisions in the General Annexes and EuroHPC Work Programme.

Key documentary and portal references:Apply via the Funding & Tenders Portal entry for topic HORIZON-JU. Use the Submission System Part A and Part B templates. Consult: Horizon Europe Work Programme General Annexes (15), the HE Programme Guide, EuroHPC JU Work Programme 2026, the HE Model Grant Agreement HORIZON-AG, and the Portal Online Manual for guidance on submission, budgets and MGA terms.

Practical checklist for applicants (high priority items)

1. 1Confirm legal eligibility: all beneficiary legal entities established in EU Member States, Associated Countries or EuroHPC JU Participating States only; exclude non-eligible third-country partners.
2. 2Plan co-funding for the non-EU-funded share (approx. 50% of eligible costs for this JU topic) and document sources in the proposal.
3. 3Prepare a full multi-partner consortium with expertise across quantum computing, ML, target application domain(s), HPC integration and standardisation.
4. 4Design clear deliverables including rigorous benchmarking, complexity analysis, and validated demonstrators on real quantum hardware and/or EuroHPC systems.
5. 5Provide a clear IP and licensing strategy favouring EUPL-1.2 or compatible OSI licences and plan code publication on code.europa.eu where applicable.
6. 6Include an ethics self-assessment and security considerations appropriate to the domain and compute infrastructure.
7. 7Use the Submission System templates and respect the 70-page limit for Part B.
8. 8Validate participant legal entities in the Participant Register (PICs) before grant signature; draft consortium agreement to manage internal roles, background and results.
9. 9Plan TRL progression from 3/4 to 5/6 within 48 months and describe exploitation and sustainability pathways.

Summary: What is this opportunity and how to explain it

This EuroHPC Joint Undertaking call targets ambitious Research & Innovation Actions to advance Quantum Machine Learning in Europe. The objective is to deliver quantum-enhanced AI techniques that are NISQ-aware, rigorously benchmarked, integrated with classical AI pipelines and demonstrably beneficial in real-world use cases. Projects should combine strong theoretical research, algorithm design, noise-aware engineering, and demonstrators running on real quantum processors and EuroHPC infrastructure. Funding is provided as Horizon Action Grants managed by the EuroHPC JU with an EU funding rate up to 50% of eligible costs; substantial co-funding is required. Participation is limited to legal entities in EU Member States, Horizon Europe Associated Countries and EuroHPC Participating States. Proposals must be submitted in a single-stage call via the Funding & Tenders Portal following Horizon Europe and EuroHPC guidance and templates.

Quick reference answers

1. 1Eligible Applicant Types: universities, research institutes, research infrastructures, SMEs, large enterprises, non-profits, public bodies, international European research organisations (legal entities in eligible countries); startups via SME partners. Individuals are not the primary applicant type for this RIA.
2. 2Funding Type: grant (Horizon Action Grant, budget-based).
3. 3Consortium Requirement: consortium expected (multi-beneficiary) for RIA; single-stage submission. Multi-partner cross-sector consortia are strongly encouraged.
4. 4Beneficiary Scope: applicants must be established in EU Member States, Horizon Europe Associated Countries or EuroHPC JU Participating States. Non-eligible third-country entities make the proposal ineligible for this topic.
5. 5Target Sector: Quantum computing, AI/ML, HPC; application domains include climate, Earth observation, healthcare, materials, finance, robotics, manufacturing, cybersecurity and others.
6. 6Mentioned Countries: Albania, Armenia, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Georgia, Greece, Hungary, Iceland, Ireland, Israel, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Malta, Moldova, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye, United Kingdom (list reflects Work Programme participating countries).
7. 7Project Stage: expected start TRL 3/4 progressing to TRL 5/6 by project end.
8. 8Funding Amount: indicative €2 000 000 — €3 000 000 per project; topic-level mapping €6 000 000 for 2026; EU funding rate up to 50% for this JU topic.
9. 9Application Type: open single-stage call via Funding & Tenders Portal; Part A online and Part B upload; page limit 70 pages.
10. 10Nature of Support: monetary grant funding plus expected in-kind access to EuroHPC infrastructure and quantum resources (non-monetary) through partnerships.
11. 11Application Stages: one stage (single-stage submission).
12. 12Success Rates: not specified for this topic; highly competitive; the topic indicates awarding of a small number of high-value RIA grants (indicative expected grants = 2).
13. 13Co-funding Requirement: Yes — matching Participating State contribution expected; EU contribution up to 50% of eligible costs so applicants must plan for the remaining co-funding.

Where to find call documents and templates

Primary call page and all official documents and templates are on the EU Funding & Tenders Portal topic page: ec.europa.eu. Applicants must use the Submission System application form available on the Portal. Refer to the Horizon Europe General Annexes, the HE Programme Guide, the HE Model Grant Agreement (HORIZON-AG) and EuroHPC JU Work Programme 2026 documents for full legal, eligibility and financial guidance.

Final recommendation

This is a strategic, high-profile EuroHPC JU RIA aimed at pushing Europe’s research and industrial capacity in Quantum Machine Learning. Prepare a multi-disciplinary consortium, document secured co-funding for the 50% non-EU share, include rigorous theoretical and practical validation on NISQ hardware and EuroHPC resources, provide an open-source / EUPL-compatible software plan, and align with EuroHPC and Quantum Flagship agendas and standardisation activities. Submit a single-stage proposal via the Funding & Tenders Portal before 28 January 2027.

Key Opportunity Details

Who Should Apply and Eligibility Requirements

This call is restricted to legal entities established in EU Member States, Horizon Europe Associated Countries, and EuroHPC JU Participating States (Norway and Iceland). Entities established in China are generally ineligible for Research and Innovation Actions in this domain due to strategic autonomy restrictions ¹. Consortia must include a minimum of 3 independent organizations from different eligible countries.

Consortium Composition:Collaboration between academia, research infrastructures, industry, SMEs, and actors across the European quantum ecosystem is strongly encouraged to ensure wide applicability and rapid technological uptake ¹.

Strategic Objectives and Expected Outcomes

The primary goal is to integrate quantum computing into data pre-processing and learning workflows for computationally intensive tasks, demonstrating improvements in speed, complexity, accuracy, and reduced sample requirements using NISQ-era devices. The project aims to develop reliable, scalable QML models integrated with existing AI frameworks and validate quantum-enhanced AI methods that outperform classical baselines ¹.

1. 1Development of robust, noise-aware QML techniques with error-mitigation strategies for NISQ hardware
2. 2Creation of demonstrators or proof-of-concept applications for real-world challenges (e.g., climate modelling, healthcare, finance, cybersecurity)
3. 3Strengthening European leadership and technological sovereignty in quantum computing and trustworthy AI
4. 4Fostering a coordinated European QML research community through cross-sector collaboration

Key Research Directions to Address

Proposals must address multiple key research directions in QML, targeting both scientific excellence and industrial relevance. Activities include designing quantum, quantum-inspired, or hybrid algorithms, performance benchmarking, and developing noise-aware strategies ¹.

1. 1Quantum Supervised Learning (QSL): Accelerating training of supervised models for high-dimensional data in finance and healthcare
2. 2Quantum Convolutional Neural Networks (QCNNs): Hybrid architectures leveraging quantum processing for training and classical inference
3. 3Learning with Quantum Models: Quantum-native models using parametrized circuits for dimensionality reduction and sample efficiency
4. 4Quantum Reinforcement Learning (QRL): Improving efficiency in high-dimensional state spaces for robotics and logistics
5. 5Quantum Unsupervised Learning: Detecting latent structures in unlabelled data for anomaly detection
6. 6Quantum AI for Algorithmic Discovery: Automating the discovery of optimized algorithms for simulation and modelling

Technical Requirements and Deliverables

Projects are expected to start at Technology Readiness Level (TRL) 3/4 and achieve TRL 5/6 by the end of the project. All developed software must be made available under the European Union Public Licence (EUPL-1.2) or compatible OSI-approved licenses ¹.

Software and IP Obligations:Proposals must leverage the code.europa.eu repository for software, data, and documentation. Consortia must also outline a clear IP plan and align with the Quantum Flagship’s Strategic Research and Industry Agenda ¹.

Application Guidelines and Submission

The application page limit is 70 pages. Proposals must be submitted electronically via the Funding & Tenders Portal using the forms provided in the Submission System. The evaluation follows a single-stage procedure ¹.

Important Submission Note:Eligible proposals exceeding evaluation thresholds may be awarded a STEP Seal, an EU quality label for high-quality digital technologies and deep tech innovation projects ¹.

Footnotes

1. 1Official source: EuroHPC JU Funding Portal