This report documents the process and findings of a horizon scanning exercise, part of a series under the FUTURINNOV (FUTURe-oriented detection and assessment of emerging technologies and breakthrough INNOVation) project, a collaboration between the European Innovation Council (EIC) and the Joint Research Centre (JRC), aiming to bolster the EIC's strategic intelligence through foresight and anticipatory methodologies.\nThe workshop, held on 24 April 2024, had as its primary goal the evaluation and prioritisation of trends and signals on emerging technologies and breakthrough innovation, across all technology readiness levels (TRLs) and within the EIC's Quantum technologies portfolio.\nSignals for the workshop were gathered from experts, literature review, and text/data mining of patents, publications, and EU-funded projects. These signals were then scrutinised for their significance to the field's future by a diverse group of sector experts which led to the identification of nine key topics: quantum sensing; quantum algorithms for lattice-based computational fluid dynamics models; materials for quantum; Artificial Intelligence for quantum; error correction; solid-state scalability; quantum for Artificial Intelligence; quantum as a service – metacloud; and quantum computers. Furthermore, the workshop identified additional wild cards with high novel-ty and disruptive potential such as quantum sensing AI on edge and molecular spin qubits.\nParticipants also highlighted various factors that could influence the development, adoption, and promotion of these emerging technologies, which can be grouped under the following categories: technical advancements; investment and infrastructure support; cross-sector collaboration; regulatory navigation; talent acquisition; market maturity; and application utility.
Authors
MOCHAN Antonia, FARINHA Joao, BAILEY Gwendolyn, RODRIGUEZ Lourdes, NIK Samira, POLVORA Alexandre
Related Organizations
- DOI
- https://doi.org/10.2760/9842945 https://doi.org/10.2760/6199218
- ISBN
- 978-92-68-20567-9 (online),978-92-68-20568-6 (print)
- ISSN
- 1831-9424 (online),1018-5593 (print)
- Other identifiers
- EUR 40016,OP KJ-01-24-006-EN-N (online),OP KJ-01-24-006-EN-C (print)
- Pages
- 42
- Published in
- Belgium
- Rights Holder
- https://ec.europa.eu/info/legal-notice_en#copyright-notice
Table of Contents
- Abstract 5
- Acknowledgements 6
- Executive summary 7
- 1 Introduction 8
- 1.1 Project objectives 8
- 1.2 Work Package objectives and methodology 8
- 1.3 Workshop objectives and scope 9
- 1.4 Process 9
- 1.4.1 Introductions 9
- 1.4.2 Breakout groups 9
- 1.4.3 Plenary discussion and selection of topics 10
- 1.4.4 Contextual factors 10
- 2 Workshop outcomes 11
- 2.1 Signal collection 11
- 2.2 Group results 12
- 2.2.1 Group A 12
- 2.2.2 Group B 13
- 2.3 Final results 14
- 2.3.1 Quantum sensing 14
- 2.3.2 CFD - Quantum algorithms for lattice-based computational fluid dynamics models 14
- 2.3.3 Materials for quantum 14
- 2.3.4 AI for quantum 15
- 2.3.5 Error correction 15
- 2.3.6 Solid-state scalability 15
- 2.3.7 Quantum for AI 15
- 2.3.8 Quantum as a Service (metacloud) 16
- 2.3.9 Quantum computers 16
- 2.3.10 Wild card final selection 16
- 2.4 Drivers, enablers and barriers 17
- 2.4.1 Drivers 17
- 2.4.2 Enablers 18
- 2.4.3 Barriers 19
- 2.4.4 Additional considerations 19
- 3 Conclusions 21
- 3.1 Novelty as applied to quantum 21
- 3.2 AI & Quantum 21
- 3.3 Importance of applications/use-cases as signals 21
- 3.4 Technical Feasibility and Development Process Optimisation 21
- 3.5 Moving Towards Hardware Universality 22
- 3.6 Transitioning from Scientific Inquiry to Industrial Application 22
- 3.7 Unique Challenges and Funding Considerations for Quantum Startups 22
- List of abbreviations and definitions 23
- List of figures 24
- Annexes 25
- Annex 1. Full list of topics (signals and clusters) that received votes in plenary 25
- Annex 2. Full list of signals sent to participants before the workshop 26
