Quantum Workforce Intelligence from qubitsok.com with Piotr Lewandowski
E108

Quantum Workforce Intelligence from qubitsok.com with Piotr Lewandowski

Summary

Who is actually doing quantum computing research, where are they, and what does the industry really need — not according to press releases, but according to the data? Piotr Lewandowski built qubitsok.com to answer exactly those questions, constructing what may be the most granular open-access dataset of quantum jobs, researchers, and publications in existence. This conversation explores what that data reveals about the real size, concentration, and trajectory of the quantum workforce — and why the answers are more unsettling than the funding announcements suggest.
Piotr Lewandowski is a software engineer based in Poland who, as a side project, has built something that no well-funded research institute has: a continuously updated, ontology-tagged intelligence platform that ingests the entire quant-ph archive, tracks thousands of open quantum roles across hundreds of companies, parses patents and grants and open-source repositories, and links all of it to individual researcher profiles. He is not a tenured academic or a hardware engineer. He is an independent data practitioner, and that outsider position gives him a vantage point on the quantum workforce that insiders rarely have — or rarely share.
This conversation matters now because the quantum industry is simultaneously claiming a generational workforce opportunity and struggling to fill highly specialized roles. Lewandowski's data offers a rare ground-truth check on both claims. If you work in quantum hiring, research, policy, or investment — or if you're a student trying to understand what the field actually looks like from the outside — this episode will give you a more honest picture than almost anything else currently available.
What We Get Into
  • How qubitsok's 500-tag ontology was built from scratch — why Lewandowski chose a tree-structured, parent-child tag system rather than relying on existing academic metadata infrastructure, and how it steers AI toward the most specific and useful classification rather than broad category labels.
  • What the full quant-ph corpus reveals about researcher mobility — which countries are gaining quantum talent (Germany and China are notable winners) and which are losing it (the US and Australia are among the top brain-drain sources), based on tracking affiliation changes over time in published papers.
  • The rising share of industry authorship in quantum research — industry-affiliated authors have grown from roughly 3.4% of quant-ph papers in 2005 to nearly 14% in 2026, and what that structural shift might mean for what gets published — and what doesn't.
  • Why the platform tracks open-source contributions alongside papers — when researchers join industry and their publication rate drops, their open-source activity becomes a meaningful proxy for continued technical engagement, and qubitsok indexes both.
  • The "qubie" talent-matching tool Lewandowski is building — rather than keyword overlap, qubie dispatches sub-agents to extract specific, claim-level evidence from a researcher's papers, dissertations, and other public writing, then returns a structured profile and interview guide for each candidate.
  • Why sourcing quantum talent is a fundamentally different problem than general tech recruiting — the evidence of what a quantum researcher can actually do is largely public and published, but no one has had the infrastructure to read it systematically at scale until now.
  • The two product directions Lewandowski is weighing — analytics and competitive intelligence for investors and companies versus talent matching for quantum hiring — and why he's currently prioritizing the latter.
  • What it means to build a field-level intelligence platform as an outsider — Lewandowski is neither employed by a quantum company nor affiliated with a university, and that independence shapes both what he can see and what he can say.
Resources & Links
Guest Links
  • qubitsok.com — The platform itself: quantum job board, daily arXiv paper digest with semantic tagging, and researcher collaboration search. All free for researchers and job seekers.
  • qubitsok.com/collaborate — Search for quantum researchers by expertise, ontology tag, and affiliation — useful for finding collaborators or co-authors.
  • Piotr Lewandowski on LinkedIn — The best place to reach him directly, especially if you're a company interested in early access to the qubie talent-matching product.
  • Piotr Lewandowski on YouTube — His channel covering quantum computing job market analysis and platform updates.
Papers & Reports
Tools & Platforms
  • qubitsok.com/jobs — Live quantum job listings, filtered by the platform's 500-tag ontology.
  • qubitsok.com/region/europe — Live European quantum jobs market data, useful context for the EU talent and salary discussion.
  • qubitsok.com/hire — Information for companies looking to use qubitsok's candidate database and, soon, the qubie matching tool.
Recognition
Key Quotes & Insights
On why the published record is a better hiring signal than a LinkedIn profile: > "Research gives you this unique lens to see people's work before you talk to them. You can be really prepared, and this helps on two sides — you talk to people actually capable of filling the role, and you're not wasting their time asking questions they already answered via their published work."
On what brain-drain data actually shows: > "The biggest country that gained quantum computing talent in the last twenty-four months is Germany — which is not something someone could expect. And the biggest countries getting brain-drained are, interestingly, the United States."
Insight — on the soul-crushing reality of quantum sourcing: Lewandowski's first job in college was sourcing — going through profiles with pen and paper, making cold calls that nobody wanted to receive. His argument is that quantum hiring doesn't have to work that way, because the evidence of what a researcher can do is already public. The problem has never been a lack of signal; it's been a lack of infrastructure to read it.
On the rising share of industry authorship: Industry-affiliated authors have grown from roughly 3.4% of quant-ph papers in 2005 to nearly 14% in 2026 — a structural shift in who is producing the science, with implications for what gets published and what gets quietly redirected into proprietary pipelines.
Insight — on the limits of the data: Lewandowski is consistently careful about what his metrics can and cannot claim. On "rising stars" identified by publication velocity and citations: "I just don't feel strongly enough to say that someone is a rising star based on their citations alone." That epistemic humility is part of what makes the platform trustworthy.
Related Episodes
  • Ep. 34 — Careers in Quantum with Anastasia Marchenkova — Marchenkova discusses her own non-linear path through quantum startups, academia, and venture, offering a personal counterpart to Lewandowski's structural workforce data.
  • Ep. 29 — Quantum Education and Community Building with Olivia Lanes — IBM Quantum's approach to building the quantum talent pipeline from the education side; a useful complement to Lewandowski's labor-market view from the hiring side.
  • Ep. 60 — Quantum Careers for Gen Z with Deeya Viradia — A ground-level view of what it looks like to enter the quantum workforce right now, which pairs well with Lewandowski's data on where the jobs actually are.
  • Ep. 80 — Our Quantum Future with Evan Kubes — Kubes built The Quantum Insider as a media and intelligence platform for the industry; an interesting parallel to what Lewandowski is building from a data-first direction.
  • Ep. 88 — Quantum Open Source with Will Zeng and Ziyaad Bhorat — Covers the structural funding gaps in open-source quantum software; relevant because Lewandowski tracks open-source contributions as a proxy for researcher activity when publication rates drop after industry transitions.
Stay in the Ecosystem
Explore qubitsok.com — The job board, daily paper digest, and researcher collaboration search are all free. If you're a company looking for quantum talent, reach out to Piotr directly on LinkedIn — he's actively building the qubie talent-matching product and looking for early partners.
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