Quantum in the Big Four with Aaron Kemp

Quantum in the Big Four with Aaron Kemp

🎙 Sebastian Hassinger 👥 314 📅 August 10, 2026 ⏱ 44 min 👁 75 📄 interview 🧭 2026-08-16
Available in: English (current) Français

Keywords

quantumPQCQMLKPMGtalent gap

Summary

In this interview, Aaron Kemp, Senior Director of Quantum Research and Enterprise Innovation at KPMG, discusses the firm’s quantum strategy and its evolution over five years. He explains how KPMG split its quantum program into distinct practices: PQC, sensing, optimization, and research. The PQC practice has been monetized within the cyber division, while the research practice focuses on exploring quantum applications. Kemp details a recent collaboration with Kipu Quantum and IBM on a quantum machine learning paper that achieved a 3% accuracy improvement over classical baselines in satellite image classification. He views this as a positive signal, not a victory, and emphasizes the importance of identifying good quantum problems. The conversation also covers the Q-PREP framework for post-quantum cryptography readiness, highlighting the challenge of inventorying data and the need for a data-centric approach. Kemp discusses the talent gap, noting only ~16,500 quantum researchers globally, and the role of AI in accelerating research. He predicts a heterogeneous compute stack in the next decade, including quantum, neuromorphic, and thermodynamic computing.

168 words

Critical Evaluation

Value of the Information & Strength of the Argument

The interview provides valuable insights into how a major consulting firm approaches quantum technology, balancing hype with practical considerations. Kemp’s argumentation is solid, grounded in his experience and specific examples. He honestly addresses the modest 3% accuracy gain, framing it as a positive step rather than a breakthrough, which adds credibility. The discussion on PQC migration is particularly valuable, emphasizing the often-overlooked challenge of data inventory. The argumentation is coherent and avoids overpromising, making it a reliable source for understanding enterprise quantum adoption.

Scientific Rigor, Source Quality, Title Accuracy

The interview demonstrates scientific rigor by referencing specific, verifiable sources, including an arXiv paper and KPMG publications. The sources are directly related to the topics discussed, such as the QML paper and the Q-PREP framework. The title accurately reflects the content, focusing on quantum within a Big Four firm. The discussion is well-structured and avoids sensationalism, contributing to its credibility. The inclusion of a critical response to Q-PREP in the description shows a balanced approach to sources.

175 words

Title / Content Match

The title accurately reflects the content: a discussion about quantum computing within a Big Four firm, focusing on strategic and practical aspects.

Quality & Reliability

8/10

The interview features a recognized expert with a strong background in cybersecurity and quantum research, and it references specific, verifiable sources such as arXiv papers and KPMG publications. The discussion is balanced and avoids overhyping results, acknowledging limitations. However, some claims (e.g., talent numbers) are not directly sourced in the video.

Key Moments

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Contribution & Novelties

The interview provides a rare insider perspective on how a Big Four firm structures its quantum research and PQC offerings. It offers practical insights into the challenges of PQC migration, emphasizing the data-centric approach and the importance of inventory. The discussion on the talent gap and the role of AI in accelerating research adds value. The 3% accuracy gain is contextualized as a positive signal, not a breakthrough, which is a nuanced take.

Pour aller plus loin :

113 words

Radar Profile

The radar profile shows high scores in quantity, quality, and reliability, with a slightly lower technical level. This indicates a well-informed, credible discussion that is accessible to a broader audience, balancing technical depth with strategic insights.

Reliability 8/10