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Compass · Lens Report

State of Post-Quantum Security

A measured view of how technology-press attention is distributed, moving and connected across 40 related topics — who holds attention, who is gaining or cooling, whether attention is concentrating or spreading out, which topics the press repeatedly connects, and what kind of coverage defines the conversation.

This is a Lens Report covering Post-Quantum Security — a measurement of how the technology press covered the 40 topics in this lens, between Jul 2025 and Oct 2026, across 2,995 articles. Measured as of 6 Oct 2026. Coverage draws on at least 64 distinct outlets; the busiest single outlet accounts for about 38.2% of the set's measured press items.

New here? How to read this report

Compass reads a curated panel of technology outlets — the same panel, read at the same steady pace, month after month — and counts and classifies what the press publishes about the topics in this lens: how much attention each drew, what kinds of stories ran, which way coverage is moving, and what was covered together. Every figure below is a measurement of that coverage — never advice — and each one opens to the dated articles behind it. Read it as a coverage-landscape briefing — a measured map of the press conversation, not a ranking of the companies or technologies underneath it. The pattern is the product; the conclusions stay yours.

The read in 60 seconds
  • Most-covered topicNIST — 12.1% of the lens's coverage
  • Fastest-gainingIonQ — +2.9 pp (3.8% → 6.7% of lens coverage)
  • Attention concentrationThe top 3 topics hold 27% of the coverage — broadly spread
  • Strongest pairingML-KEM + NIST — covered together in 19 articles · distinctiveness 0.65
What not to over-read: this measures press coverage — not adoption, revenue, or quality.
The measured read

Post-Quantum Security coverage is broadly spread but structured: recent attention is rotating from NIST and explicit encryption topics toward a wider set of named subjects, while ML-KEM-linked cryptography supplies its strongest editorial spine.

Full history 40 topics 2,995 articles
  • NIST leads coverage at 12.1%, ahead of quantum computing at 9.2%, yet attention remains broadly spread rather than anchored to one subject.
  • News and updates make up 32% of coverage, launches 29% and partnerships 19%, so developments and relationships supply most of the press structure.
  • The press places 72% of reported work at announcement, 18% at launch and 9% at results, so its narrative is weighted toward stated activity rather than reported outcomes.
  • Neutral framing accounts for 93%, against 6% promotional and 1% critical, which makes the allocation of attention more consequential than overt stance in shaping the lens.
  • Regulation accounts for 4% of story types, yet the strongest pairing joins ML-KEM and NIST, so an institution-linked cryptography thread is structurally visible without dominating article formats.
  • The separate ML-KEM, Amazon Braket and Alice & Bob clusters show that broad distribution is structured into editorial neighborhoods rather than isolated subjects.
What Compass measured

This report describes how the technology press covered the 40 topics in this lens over full history — which drew the most coverage, which are gaining or cooling, what's covered together, and how concentrated attention is. It measures coverage patterns, not the products themselves.

Coverage leaders

The full-history Post-Quantum Security lens runs from July 2025 through October 2026. Coverage spans 40 subjects across 2,995 articles. Attention in this lens is broadly spread — the three most-covered topics hold about 27% of the set's coverage, spread across roughly 22 effective topics.

TopicTypeShare of coverageMovement
NIST organization 12.1%−4.9 pp
quantum computing technology 9.2%+1.2 pp
IonQ company 5.4%+2.9 pp
post-quantum cryptography technology 5.3%+1.1 pp
ETH Zurich organization 4.6%−0.9 pp
University of Chicago organization 3.5%−1.1 pp
Quantinuum company 3.4%+0.9 pp
Caltech organization 3%+0.2 pp
IQM Quantum Computers company 2.8%−1.5 pp
National Security Agency organization 2.7%+1.2 pp
quantum error correction technology 2.6%+1.1 pp
D-Wave Quantum Inc company 2.5%+1.6 pp
quantum computers technology 2.5%+0.4 pp
OpenSSL standard 2.4%−0.5 pp
end-to-end encryption technology 2.3%−2.6 pp
Infleqtion company 2.2%+0.2 pp

Topic share = that topic's measured articles divided by the sum of every lens topic's measured articles. An article covering several lens topics counts once for each of them, so shares measure attention to topics — not exclusive slices of unique articles. Lens entries are coverage topics, not mutually exclusive market participants — a company, its products and its models can each be topics, and their coverage overlaps. Movement is the share shift described under Momentum shifts below.

Momentum shifts

The rotation appears in a comparison of each subject’s coverage share in the latest three months with the preceding three, with shifts below 0.2 percentage points treated as steady. IonQ gained 2.9 points while NIST fell 4.9, and Pasqal rose 2.3, so recent attention is dispersing from the overall leader across multiple named subjects. End-to-end encryption fell 2.6 points while post-quantum cryptography is cooling, which shows that the rotation reaches explicit security topics as well as NIST.

Movement is each topic's share of the lens's coverage in the last 3 months versus the 3 months before that, in percentage points (pp). Topics shifting less than 0.2 pp are steady.

Gaining coverage
  • IonQ+2.9 pp (3.8% → 6.7% of lens coverage)
  • Pasqal+2.3 pp (1.7% → 4% of lens coverage)
  • CUDA-Q+1.7 pp (0.2% → 1.9% of lens coverage)
  • D-Wave Quantum Inc+1.6 pp (2.4% → 4% of lens coverage)
  • Xanadu+1.5 pp (1.2% → 2.7% of lens coverage)
  • quantum computing+1.2 pp (9.6% → 10.8% of lens coverage)
  • National Security Agency+1.2 pp (2.6% → 3.8% of lens coverage)
  • post-quantum cryptography+1.1 pp (6% → 7.1% of lens coverage)
Cooling
  • NIST−4.9 pp (13.2% → 8.3% of lens coverage)
  • end-to-end encryption−2.6 pp (3.2% → 0.6% of lens coverage)
  • IQM Quantum Computers−1.5 pp (4.2% → 2.7% of lens coverage)
  • University of Chicago−1.1 pp (3% → 1.9% of lens coverage)
  • IBM Research−1.1 pp (2.6% → 1.5% of lens coverage)
  • RIKEN−1.1 pp (1.7% → 0.6% of lens coverage)
  • ETH Zurich−0.9 pp (4.2% → 3.3% of lens coverage)
  • Willow−0.9 pp (1.5% → 0.6% of lens coverage)
Coverage mix over time

How the lens's coverage is divided among its topics, month by month — and how concentrated attention is across the set.

② Share of coverage over time
Each topic's share of this set's topic mentions, period by period (monthly). Absolute counts rise for everyone in a hot category, so share is what reveals whose grip is tightening or loosening. Each column sums to 100%, with the rest of the set folded into Others. One article can name several members of a set — a product family and one of its models, say — so it counts once toward each: read the bands one at a time rather than adding them together.
25%50%75%Jul 25Oct 25Jan 26Apr 26Jul 26Oct 26
Top-3 concentration latest month 29.7%

Steady — across the last three measured months the top three have held 28.4% of this set's coverage, within 3 points of the 28.3% they held at the start of the window. Neither consolidating nor broadening.

Every value here is a dated measurement of coverage within this set, drawn from the Enginerds corpus — the same panel of sources, read at the same steady pace, month after month. It reflects how much the press writes about each topic, not revenue, adoption, or market share. The conclusion stays yours.

What the coverage is made of

Pooled across the whole lens: the kinds of stories the press runs, how far the reported work has progressed (as the press itself describes it), and the press framing.

By story type
News & updates32%
Launch29%
Partnership19%
Benchmark7%
Funding5%
Regulation4%
Everything else4%
By claim stage (as reported)
Announcement72%
Launch18%
Results9%
Speculation1%
By press framing
Neutral93%
Promotional6%
Critical1%
Skepticalunder 1%

Story type is a share of the 2,001 classified coverage items classified on that axis; claim stage of the same number; press framing of the 2,001 whose framing could be read.

Covered together

Across the full record, ML-KEM and NIST are the most strongly connected pairing, covered together in 19 articles, which gives the broadly spread lens a clear topic–organization anchor. RSA is covered with post-quantum cryptography in 10 articles and Shor’s algorithm in 7, so it acts as an editorial hinge within the ML-KEM cluster. Beyond that core, separate clusters around Amazon Braket and Alice & Bob create parallel editorial neighborhoods, which is why broad coverage is structured rather than atomized.

Pairings are ranked by connection strength: distinctiveness weighted by how many confirmed events link the pair and how far apart the two topics sit in the field, with a company's own product-family pairs set aside. So a pair can rank above another that shows a higher raw distinctiveness score or more shared articles — each card carries both numbers. Distinctiveness is normalized co-occurrence (NPMI, −1 to 1): how much more often the pair shares stories than the two topics' separate coverage volumes alone would predict. Big topics co-occur often by volume alone; a high score means the pairing itself is the pattern. Each pairing also shows how many outlets its cited stories span: a pairing cited almost entirely by one specialist outlet is that outlet's editorial pattern, not necessarily a field-wide one. "Covered together" is a measurement of shared coverage across Compass's full measured record — not only this report's window — and not a partnership, endorsement, or equivalence.

Coverage clusters

Groups of topics the press tends to cover together — the shape of the domain's coverage neighborhoods.

ML-KEM cluster
ML-KEMRSAShor’s algorithmpost-quantum cryptographyNISTPQCSEALSQ Corpquantum computing
NIST (19)post-quantum cryptography (8)SEALSQ Corp (3)Shor’s algorithm (3)ML-KEM

Line weight = articles covering the pair together (full measured record).

Amazon Braket cluster
Amazon BraketQuEra ComputingIQM Quantum ComputersRigetti Computing
QuEra Computing (5)IQM Quantum Computers (5)Rigetti Computing (3)Amazon Braket

Line weight = articles covering the pair together (full measured record).

Alice & Bob cluster
Alice & BobETH Zurichquantum error correction
quantum error correction (8)ETH Zurich (3)Alice & Bob

Line weight = articles covering the pair together (full measured record).

What to watch

D-Wave Quantum Inc and Xanadu gained 1.6 and 1.5 percentage points, extending the rotation beyond the two largest gainers rather than concentrating edge attention in one subject. Both sit outside the ML-KEM cluster, so edge momentum is widening parallel threads rather than merely enlarging the central cryptography grouping.

Topics in this lens · 40

The full set this report measures, ranked by share of the lens's coverage. Topic share = that topic's measured articles divided by the sum of every lens topic's measured articles. An article covering several lens topics counts once for each of them, so shares measure attention to topics — not exclusive slices of unique articles. Lens entries are coverage topics, not mutually exclusive market participants — a company, its products and its models can each be topics, and their coverage overlaps. Share is never market share, adoption, or importance.

NIST organization
quantum computing technology
IonQ company
post-quantum cryptography technology
ETH Zurich organization
University of Chicago organization
Quantinuum company
Caltech organization
IQM Quantum Computers company
National Security Agency organization
quantum error correction technology
D-Wave Quantum Inc company
Show all 40 topics
quantum computers technology
OpenSSL standard
end-to-end encryption technology
Infleqtion company
Oak Ridge National Laboratory organization
CODA product
PQC technology
QuEra Computing company
Shor’s algorithm technology
IBM Research organization
Xanadu company
Pasqal company
Rigetti Computing company
PsiQuantum company
RSA technology
Willow product
Sandia National Laboratories organization
University of Waterloo organization
Alice & Bob company
SEALSQ Corp company
CUDA-Q product
RIKEN organization
Classiq company
ML-KEM technology
ML-DSA technology
Q-CTRL company
Google Quantum AI organization
Amazon Braket product
Representative cited sources
Show all 32 cited sources
Briefing

Post-Quantum Security coverage is broadly spread, but recent attention is rotating from NIST and explicit encryption topics across several named subjects while ML-KEM, RSA and Shor’s algorithm hold its strongest connective thread together.

Methodology

Every figure is drawn from the Enginerds corpus — a curated panel of technology outlets, each read at the same steady pace over time — and is a measurement of coverage within this lens: article counts, each topic's share of the set's coverage over time, the direction of that coverage, and which topics are covered together. Titles are shown as published; inclusion is not endorsement.

Topic share = that topic's measured articles divided by the sum of every lens topic's measured articles. An article covering several lens topics counts once for each of them, so shares measure attention to topics — not exclusive slices of unique articles. Lens entries are coverage topics, not mutually exclusive market participants — a company, its products and its models can each be topics, and their coverage overlaps.

Movement is each topic's share of the lens's coverage in the last 3 months versus the 3 months before that, in percentage points (pp). Topics shifting less than 0.2 pp are steady.

Pairings are ranked by connection strength: distinctiveness weighted by how many confirmed events link the pair and how far apart the two topics sit in the field, with a company's own product-family pairs set aside. So a pair can rank above another that shows a higher raw distinctiveness score or more shared articles — each card carries both numbers. Distinctiveness is normalized co-occurrence (NPMI, −1 to 1): how much more often the pair shares stories than the two topics' separate coverage volumes alone would predict. Big topics co-occur often by volume alone; a high score means the pairing itself is the pattern.

What this report does not claim. Compass measures coverage patterns in the technology press. It does not predict outcomes, rank technologies by merit or importance, or recommend what to buy, build, or invest in. Coverage is not the same as real-world significance.

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Built on a curated technology press corpus

Compass measures a dated, source-linked corpus of technology coverage — a curated panel of 140+ sources, each read at the same steady pace, month after month. Most are established outlets and specialist publications. The rest are channels that companies and projects run themselves, and those are counted separately. Every measurement opens back to the cited articles behind it.

View the corpus methodology →