Quantum in the Big Four with Aaron Kemp

Aaron Kemp sits at an unusual intersection. He holds a doctorate in cybersecurity, spent years in DoD classified environments running SCI and SAP facilities, and now leads KPMG's quantum research practice — where he's a co-author on a recent hybrid QML paper with Kipu Quantum and IBM. He's also the lead author of KPMG's Q-PREP framework, which pushes enterprises to treat post-quantum cryptography migration as an operational risk problem right now.

If you've wondered how quantum actually lands inside a Fortune 200 boardroom — not the hype cycle version, but the "what do you actually tell the CFO" version — this episode maps that territory honestly. It's also useful listening if you're trying to understand the emerging talent gap, why the quiet in enterprise research publications may itself be a signal, and how a firm known for audit and advisory ends up doing multispectral analysis of chestnut trees on IBM quantum processors.

What We Get Into

• Why KPMG split quantum into distinct practices — PQC, sensing, optimization, and research — and what that structural choice signals about market timing
• How a PBS documentary about the American chestnut tree led to a peer-reviewed quantum ML paper with Kipu Quantum and IBM
• The honest case for a 3% accuracy gain over classical ResNet-50 baselines — and why Aaron treats it as a positive-sum signal rather than a victory lap
• Why "what makes a good quantum problem" remains the most important question in the field, and how KPMG's client base shapes their answer
• The seven-step Q-PREP framework for post-quantum cryptography readiness, and why step one — knowing what you actually have — is the hardest step
• How data-centric thinking (not cryptography-centric thinking) reframes the PQC migration challenge
• Why the quiet in enterprise research publications from major financial institutions may itself be a market signal
• The talent bottleneck: ~16,500 quantum researchers on the planet against a coming wave of enterprise demand
• How AI tooling is compressing quantum research timelines, and what that means for who can enter the field
• Why the compute stack of the next decade will be heterogeneous — quantum, neuromorphic, thermodynamic, and mechanical computing all coexisting

Resources & Links

Guest & Organization

• Dr. Aaron Kemp — KPMG People Profile — Official bio covering Aaron's DoD/classified cybersecurity background and current role as US Quantum Leader.

Papers & Research

• arXiv:2602.18350 — Quantum-enhanced satellite image classification — The peer-reviewed KPMG/Kipu Quantum/IBM paper Aaron co-authored, demonstrating hybrid quantum-classical accuracy gains on IBM processors.
• From Theory to Impact: Real-World Results in Quantum Machine Learning — KPMG's editorial summary of the satellite imagery research, framed for enterprise readers.
• From Theory to Impact — Full Technical Report (PDF) — The detailed technical companion walking through the hybrid pipeline step by step.

PQC & Enterprise Frameworks

• Q-PREP: Seven Steps to Post-Quantum Cryptography Readiness (PDF) — KPMG's prescriptive PQC migration framework, with Aaron as lead author.
• The Quantum Threat Is No Longer Theoretical (PDF) — Aaron's board-level brief on Q-Day urgency.
• Prepare Now for Quantum Cyber Risk (KPMG Board Leadership Center) — Aaron's article for corporate directors, originally in NACD Directorship Online.

Related Coverage & Commentary

• Kipu Quantum: Quantum-Enhanced AI Deployable in Production — Announcement of the production framework that removes quantum hardware from the inference loop; Aaron quoted as enterprise champion.
• KPMG's Seven Steps Build Quantum Resilience for Businesses (Quantum Zeitgeist) — Third-party coverage of Q-PREP.
• A Framework Can Tell You What to Do. It Cannot Tell You What You Have. (Qtonic Substack) — A critical response arguing that advisory frameworks don't solve the underlying cryptographic inventory problem — useful counterpoint reading.

Key Quotes & Insights

• On the 3% accuracy gain: "It's a positive game… we did a 12–15 week sprint, and to at least meet classical was our goal when we started. So when we actually did get three percent, it was repeatable. That was, to me, okay — there's something there."
• On the real PQC problem: "We don't have a cryptographic problem. We have a data problem. None of these organizations know where their data flows."
• On cybersecurity as a discipline: "Cybersecurity is probably the worst career field ever because perfect cybersecurity has no ROI — because nothing happens."
• On enterprise timing: Insight: Aaron frames the quiet in financial services quantum research publications as a market signal — organizations may have stopped sharing because they're moving from research toward competitive advantage.
• On the talent gap: "There's 16,500 quantum researchers on the planet… Fortune 200 will hire 16,000." A single tier of enterprise demand could exhaust the global talent pool.

Related Episodes

• Episode 14: A Hybrid NISQ-Classical Solution Architecture with Harry Buhrman — Foundational thinking on hybrid quantum-classical architectures relevant to the Kipu/KPMG/IBM approach.
• Episode 38: Quantum Machine Learning with Jessica Pointing — A rigorous look at the tradeoffs and open questions in QML that frame Aaron's satellite imagery results.
• Episode 81: Quantum LDPC error correction with Larry Cohen and Paul Webster — Directly relevant to the compressing resource estimates for breaking RSA that shape PQC urgency.
• Episode 86: Quantum Advantage Achieved with Dominik Hangleiter — A theorist's careful framing of what advantage claims should and shouldn't mean.
• Episode 40: Integrating Quantum Computers and Classical Supercomputers with Martin Schultz — Useful context on the heterogeneous compute future Aaron and Sebastian discuss at the end of the episode.

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