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Quantum Flagship seeks feedback on complete SRIA document

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September 24, 2026 by Ivy Delaney

Over 100 contributions from across Europe’s quantum ecosystem have shaped the latest draft of the Strategic Research and Industry Agenda, as the Quantum Flagship now enters Phase II of public consultation, the company says. Editor groups have integrated this initial feedback, consolidating revised technology roadmaps with new chapters addressing funding, intellectual property, skills, and governance into a single document available for review.

The organization specifically requests “direct edits to excerpts of the text” to ensure actionable contributions, as it aims to finalize Europe’s shared vision for quantum technologies through 2035; comments are accepted until October 2, 2026.

Phase II Consultation: Updated SRIA for Quantum Technologies to 2035

The updated Strategic Research and Industry Agenda (SRIA) for quantum technologies is now available as a single document, consolidating revised technology roadmaps with newly developed chapters on funding mechanisms, intellectual property considerations, skills development, and governance structures. General commentary or the introduction of new discussion points are discouraged at this phase; the focus is on refining existing content for clarity, consistency, and accuracy. This targeted approach acknowledges the limited timeframe for consolidation and prioritizes feedback that can be directly implemented into the final document.

The newly integrated cross-cutting chapters address critical aspects beyond the core technological advancements, recognizing that successful implementation of quantum technologies requires a comprehensive strategy. These chapters detail considerations for securing funding, protecting intellectual property, cultivating a skilled workforce, and establishing effective governance frameworks.

This broadened scope signifies a move towards translating research breakthroughs into tangible societal and economic benefits. “FTQC Workshop: From Scientific Challenge to Industrial Implementation” exemplifies this focus, highlighting the need to bridge the gap between scientific discovery and practical application. Responses to the draft SRIA can be submitted anonymously through dedicated questionnaires for each chapter, streamlining the review process and ensuring feedback reaches the appropriate editor group.

The questionnaires do not collect personal information unless the respondent chooses to provide it, encouraging open and honest feedback from all stakeholders. This inclusive approach extends to researchers, industry representatives, policymakers, students, and the wider public, recognizing that a diverse range of perspectives is essential for shaping a successful quantum future. The complete SRIA draft and associated questionnaires are available on the SRIA consultation page, providing a central hub for participation and collaboration.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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