Q2B26 Copenhagen | David Sadek, VP Research, Technology & Innovation, Thales

Q2B26 Copenhagen | David Sadek, VP Research, Technology & Innovation, Thales

🎙 David Sadek 👥 6K 📅 October 12, 2026 ⏱ 25 min 👁 73 📄 expert opinion 🧭 2026-10-15
Available in: English (current) Français

Keywords

quantum machine learningRF spectrumanomaly detectionhybrid classical-quantumThales

Summary

This presentation by David Sadek, VP Research at Thales, outlines the company’s multi-year journey in quantum computing and its ambition to pioneer quantum AI applications at scale across its business sectors: space, cyber, defense, and digital identity. Sadek begins by framing quantum computing as a response to the energy wall facing classical AI training, showing how QPU trajectories may overcome flops-per-watt stagnation. He presents Thales’ quantum organization (about 20 engineers across 7 countries) and 25+ concrete use cases, plus leadership of the French BACQ benchmarking initiative and a new European-level initiative with Germany and the Netherlands. Specific projects include ESA cooperation on Earth observation, an NP-hard satellite constellation mission planning problem tested with Pasqal, and NATO working group participation. The core of the talk is a DRDC-funded Canadian project applying hybrid quantum-classical machine learning to RF spectrum anomaly detection (jamming detection), comparing three QML architectures (quantum kernels, reservoir computing, quantum representation learning) on real IBM hardware. Results show a 1.3% deviation between simulation and hardware execution, and data-dependent encoding (DCT) proving critical. The talk concludes with TRL assessment (currently TRL 4, targeting TRL 5-6), a partnership in Denmark, and a vision of quantum as a structuring technology for European strategic autonomy.

201 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides a valuable industrial perspective on quantum computing maturity, particularly the hybrid quantum-classical RF anomaly detection pipeline validated on real IBM hardware. The argumentation is structured: starting from the AI energy wall, positioning quantum as a virtuous trajectory, then moving to concrete use cases and measurable benchmark results. The most compelling element is the quantitative claim of a 1.3% gap between simulation and hardware performance, which substantiates the feasibility of today’s QPUs for practical tasks. The speaker also makes a credible case for the DCT encoding as the critical lever in representation learning. However, the overall argumentation remains promotional, with most use cases described at a high level and lacking comparative baselines or statistical rigor. The transition from ‘quantum adds measurable value’ to ‘hybrid is the right approach now’ is reasonable but underexplored: no explanation is given of why quantum outperforms classical methods beyond a single benchmark setting.

Scientific Rigor, Source Quality, Title Accuracy

The speaker is a VP at a major European defense contractor, lending institutional credibility. However, no scientific papers, public reports, or external references are cited during the talk — the only external link is the Q2B event page. The claims about BACQ, NATO, and ESA projects are plausible but unverifiable from the provided information. The title adequately reflects the content, which stays on topic throughout. The use of the TRL framework and reference to IBM/Quandela hardware adds concreteness, but the absence of publications or reproducibility details limits scientific rigor. The description mentions no references beyond the Q2B site, reinforcing the promotional character over a scholarly one.

271 words

Title / Content Match

Title perfectly matches content: Thales' VP of Research presents the company's roadmap toward quantum computing and AI applications at scale, exactly as announced.

Quality & Reliability

7/10

Credible corporate presentation with concrete results from a government-funded project; claims are consistent but no publications are referenced, making external verification impossible; promotional tone requires caution.

Key Moments

Cited Sources

Concurring Sources

Contribution & Novelties

This talk contributes an industrial perspective on quantum computing maturity, notably the hybrid quantum-classical RF anomaly detection pipeline tested on real IBM hardware with a 1.3% simulation-to-hardware deviation. It also highlights Thales’ leadership of the French BACQ benchmarking initiative, positioning industrial benchmarking as a structuring role. The main novelty is the demonstration that data-dependent encoding (DCT) is a critical lever in quantum ML performance, and that current hardware can handle practical loads for jamming detection. The talk is more of a strategic overview than an original scientific contribution, but the Canadian lab results offer a real proof point.

Pour aller plus loin :

158 words

Radar Profile

The radar profile shows a balanced but modest distribution, with quantity of information and reliability slightly ahead of quality and technical depth, reflecting a strategic corporate presentation rather than an in-depth research contribution.

Reliability 7/10