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 Jun 2025 and Sep 2026, across 3,369 articles. Measured as of 20 Sep 2026. Coverage draws on at least 72 distinct outlets; the busiest single outlet accounts for about 32.1% of the set's measured press items.
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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.
- Most-covered topicNIST — 12.5% of the lens's coverage
- Fastest-gainingPasqal — +3.2 pp (0.6% → 3.8% of lens coverage)
- Attention concentrationThe top 3 topics hold 26% of the coverage — broadly spread
- Strongest pairingAmazon Braket + QuEra Computing — covered together in 9 articles · distinctiveness 0.67
Across the full history of Post-Quantum Security coverage, spanning June 2025 through September 2026, attention is broadly spread but organized by an NIST-linked cryptography thread and an Amazon Braket grouping, while recent gains rotate the edge toward post-quantum cryptography and a changing company roster.
- NIST commands 12.5% of coverage, ahead of quantum computing at 8.5%, so the field has a clear institutional anchor without a dominant subject.
- Post-quantum cryptography at 5% sits close to IonQ at 4.8%, so the upper tier mixes core-topic reporting with company coverage rather than separating them.
- The press describes 70% of covered work as announcements, against 19% launches and 10% results, so reporting concentrates on stated progress more than reported outcomes.
- Neutral framing accounts for 93% of coverage and promotional framing 7%, while critical and skeptical treatments are both under 1%, so subject choice supplies more variation than tone.
- Benchmarks represent 8% of stories, while funding and regulation each account for 4%, so these formats remain secondary to news, launches and partnerships.
- Princeton University, the University of Chicago and Caltech form a separate coverage cluster, so the field retains a third editorial neighborhood beyond the NIST- and Amazon Braket-centered threads.
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.
The 3,369 articles range across 40 subjects, so coverage breadth comes from a large editorial roster rather than a narrow contest. Attention in this lens is broadly spread — the three most-covered topics hold about 26% of the set’s coverage, spread across roughly 23 effective topics. News and updates account for 34%, launches 30%, and partnerships 16%, so that broad roster is reported mainly through developments, introductions and collaborations.
| Topic | Type | Share of coverage | Movement |
|---|---|---|---|
| NIST | organization | 12.5% | −3.5 pp |
| quantum computing | technology | 8.5% | steady |
| post-quantum cryptography | technology | 5% | +1.7 pp |
| IonQ | company | 4.8% | +0.3 pp |
| ETH Zurich | organization | 4.5% | +0.5 pp |
| Princeton University | organization | 3.8% | steady |
| University of Chicago | organization | 3.7% | −0.5 pp |
| Caltech | organization | 3.3% | steady |
| Quantinuum | company | 3% | +2 pp |
| IQM Quantum Computers | company | 2.7% | steady |
| OpenSSL | standard | 2.6% | +0.4 pp |
| National Security Agency | organization | 2.4% | −0.4 pp |
| quantum computers | technology | 2.4% | +0.7 pp |
| end-to-end encryption | technology | 2.3% | −0.9 pp |
| quantum error correction | technology | 2.3% | +0.6 pp |
| D-Wave Quantum Inc | company | 2.1% | +0.3 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.
Recent attention is rotating rather than moving as one block: each subject’s coverage share in the last three months is compared with the prior three, with shifts below 0.2 percentage points treated as steady. Pasqal rose from 0.6% to 3.8%, while Quantinuum added 2 percentage points, so company attention is shifting toward a different roster. Post-quantum cryptography added 1.7 points as NIST fell 3.5 and Shor’s algorithm fell 2, which shifts recent emphasis from institutional and algorithmic references toward the core cryptography topic.
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.
- Pasqal+3.2 pp (0.6% → 3.8% of lens coverage)
- Quantinuum+2 pp (3% → 5% of lens coverage)
- post-quantum cryptography+1.7 pp (5.2% → 6.9% of lens coverage)
- Xanadu+0.8 pp (0.9% → 1.7% of lens coverage)
- PsiQuantum+0.8 pp (1.4% → 2.2% of lens coverage)
- quantum computers+0.7 pp (1.5% → 2.2% of lens coverage)
- quantum error correction+0.6 pp (2.4% → 3% of lens coverage)
- PQC+0.6 pp (2.1% → 2.7% of lens coverage)
- NIST−3.5 pp (14.6% → 11.1% of lens coverage)
- Shor’s algorithm−2 pp (2.8% → 0.8% of lens coverage)
- QuEra Computing−1.6 pp (2.4% → 0.8% of lens coverage)
- Amazon Braket−1.1 pp (1.3% → 0.2% of lens coverage)
- Google Quantum AI−1 pp (1.3% → 0.3% of lens coverage)
- Q-CTRL−1 pp (1.3% → 0.3% of lens coverage)
- end-to-end encryption−0.9 pp (2.3% → 1.4% of lens coverage)
- University of Chicago−0.5 pp (3.3% → 2.8% of lens coverage)
How the lens's coverage is divided among its topics, month by month — and how concentrated attention is across the set.
Steady — across the last three measured months the top three have held 26.5% of this set's coverage, within 3 points of the 29.1% 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.
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.
Story type is a share of the 2,504 classified coverage items classified on that axis; claim stage of the same number; press framing of the 2,310 whose framing could be read — vendor and primary-source items carry none.
The most strongly connected pairing is Amazon Braket with QuEra Computing, covered together in 9 articles across the full record, including launch and partnership coverage, so the Amazon Braket grouping has a clear editorial core. In that full record, NIST appears with ML-KEM in 25 articles and ML-DSA in 21, which is why the cryptography grouping has an institutional spine as well as the overall coverage leader. A separate grouping around Princeton University shows that coverage fragments into distinct editorial neighborhoods rather than collapsing into one NIST-led narrative.
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.
- Amazon Braket + QuEra Computing actor–actor
- QuEra’s Libra Fault-Tolerant Quantum System Heading To Amazon Braket Service
- AWS Deepens Strategic Collaboration with QuEra to Bring Fault-Tolerant Quantum Computing to Amazon Braket | Amazon Web Services
- AWS and QuEra lay out roadmap to fault-tolerant quantum computing in next two years
- Amazon Braket and Amazon Bedrock: quantum algorithms solving telco challenges – a case study on backhaul network upgrades | Amazon Web Services
- QuEra announced Libra, a fault-tolerant neutral-atom quantum system that will be hosted on Amazon Braket in 2028.
- AWS and QuEra expanded their strategic collaboration to bring fault-tolerant quantum computing to Amazon Braket.
- AWS and QuEra plan to bring Libra to Amazon Braket customers by 2028.
- Amazon Braket + Rigetti Computing actor–actor
- Amazon Braket launches Rigetti Cepheus™-1-108Q superconducting device | Amazon Web Services
- Error mitigation on Amazon Braket with program sets and Mitiq | Amazon Web Services
- Amazon Braket introduces program sets enabling customers to run quantum programs up to 24x faster | Amazon Web Services
- Amazon Braket Launches Program Sets to Accelerate Quantum Algorithm Execution
- Amazon Braket expanded its hardware with the general availability of Rigetti Computing’s Cepheus-1-108Q.
- Rigetti Computing made Cepheus-1-108Q generally available on Rigetti Quantum Cloud Services and Amazon Braket.
- Rigetti deployed Cepheus-1-108Q on Amazon Braket as the first gate-based quantum device over 100 qubits on AWS.
- ML-DSA + NIST topic–actor
- SEALSQ QS7001 Post-Quantum Secure Element Obtains NIST SP 800-90B Entropy Source Validation
- SEALSQ Unveils Quantum Shield QS7001, First Chip with Hardware-Embedded NIST PQC Algorithms
- BTQ Technologies Demonstrates Quantum-Safe Bitcoin Core with NIST-Standardized PQC
- Why we cannot wait for better post-quantum signature algorithms
- NIST standardized ML-DSA, SLH-DSA, and ML-KEM for post-quantum cryptography.
- Cloud KMS now generally offers NIST standardized PQC algorithms for encryption and signing keys.
- Google said Android 17 is integrating PQC digital signature protection using ML-DSA.
- Amazon Braket + CUDA-Q actor–actor
- AWS Deepens Strategic Collaboration with QuEra to Bring Fault-Tolerant Quantum Computing to Amazon Braket | Amazon Web Services
- Amazon Braket launches Rigetti Cepheus™-1-108Q superconducting device | Amazon Web Services
- Amazon Braket launches trapped-ion quantum computer from Alpine Quantum Technologies | Amazon Web Services
- Amazon Braket Notebook Environments Now Support CUDA-Q Natively | Amazon Web Services
- Amazon Braket notebook environments now support CUDA-Q natively.
- Amazon Braket notebook environments now include the latest compatible packages for Braket, CUDA-Q, PennyLane, and Qiskit.
- New Amazon Braket notebook instances include pre-installed examples of quantum programs using Braket, CUDA-Q, PennyLane, and Qiskit.
- Amazon Braket + IQM Quantum Computers actor–actor
- Amazon Braket introduces program sets enabling customers to run quantum programs up to 24x faster | Amazon Web Services
- Amazon Braket Launches Program Sets to Accelerate Quantum Algorithm Execution
- Amazon Braket Launches IQM Emerald 54-Qubit Superconducting Quantum Processor
- Amazon Braket launches new 54-qubit superconducting quantum processor from IQM | Amazon Web Services
- Amazon Braket program sets are available on Rigetti and IQM superconducting QPUs and the Amazon Braket local simulator.
- Amazon Braket launched a new 54-qubit superconducting quantum processor from IQM Quantum Computers.
- Amazon Braket launched general availability of IQM Emerald, a 54-qubit superconducting QPU.
- Amazon Braket + IonQ actor–actor
- QC Ware and IonQ Achieve Chemical Accuracy in Hybrid Quantum Chemistry Workflow for Drug Discovery
- IonQ and Q-CTRL Integrate Fire Opal for Native Quantum Optimization
- Quantinuum and IonQ Receive Investments from Quanta and Amazon, Signaling Increased Venture Capital in Quantum Sector
- Haiqu and Quanscient Collaborate on Quantum Fluid Mechanics Simulation on Amazon Braket
- QC Ware and IonQ demonstrated a hybrid quantum-classical chemistry workflow using Promethium on IonQ Forte.
- Researchers from the University of Washington and Amazon Braket realized the fermionic Laughlin state on a programmable quantum processor.
- Amazon Braket was used to access IonQ’s trapped-ion quantum computers for the experiment.
- ML-KEM + NIST topic–actor
- SEALSQ QS7001 Post-Quantum Secure Element Obtains NIST SP 800-90B Entropy Source Validation
- Standardizing Post-Quantum IPsec: Cloudflare Adopts Hybrid ML-KEM to Replace Ciphersuite Bloat
- SEALSQ Unveils Quantum Shield QS7001, First Chip with Hardware-Embedded NIST PQC Algorithms
- WISeKey and SEALSQ Introduce Quantum-Resilient Robotics Platform and Operational Architecture
- NIST standardized ML-DSA, SLH-DSA, and ML-KEM for post-quantum cryptography.
- Cloud KMS now generally offers NIST standardized PQC algorithms for encryption and signing keys.
- Google Cloud says its API endpoints now offer quantum-safe key exchange using NIST-standardized ML-KEM in hybrid mode.
- ML-DSA + post-quantum cryptography topic–topic
- ML-DSA + Shor’s algorithm topic–topic
- ML-DSA + SEALSQ Corp topic–actor
- Princeton University + University of Chicago actor–actor
- AI is more likely than humans to form biases when hiring
- MIT graduate engineering and business programs ranked highly by U.S. News for 2026-27
- “We the People” depicts inventors, dreamers, and innovators in all 50 states
- NLR Analysis Identifies Reservoir Thermal Energy Storage as a Solution for Data Center Cooling Needs
- Researchers at Princeton University and the University of Chicago ran a simulated hiring study in which LLMs stereotyped job applicants more than humans did.
- Caltech + Princeton University actor–actor
- MIT graduate engineering and business programs ranked highly by U.S. News for 2026-27
- The Quest to Build a Radio Telescope That Can Hear the Cosmic Dark Ages
- Darcy McRose and Mehtaab Sawhney ’20, PhD ’24 named 2025 Packard Fellows for Science and Engineering
- MIT named No. 2 university by U.S. News for 2025-26
- ML-KEM + Shor’s algorithm topic–topic
- ML-KEM + SEALSQ Corp topic–actor
- AWS KMS + NIST actor–actor
Groups of topics the press tends to cover together — the shape of the domain's coverage neighborhoods.
Line weight = articles covering the pair together (full measured record).
Line weight = articles covering the pair together (full measured record).
Line weight = articles covering the pair together (full measured record).
Xanadu and PsiQuantum each added 0.8 percentage points, while quantum computers added 0.7, so gains beyond the largest movers are distributed across company and topic coverage. QuEra Computing fell 1.6 points, Amazon Braket 1.1, and Google Quantum AI 1, so cooling is likewise spread across several named subjects. The edge pattern is simultaneous roster rotation and grouped coverage, because Amazon Braket-linked subjects can cool individually while still appearing in the field’s strongest full-record pairings.
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.
Show all 40 topics
- Qtonic Quantum Corp Launches QShield for Immediate Software-Only Post-Quantum Network Protection
- Chip Industry Week In Review
- The Quantum Issue: To Freeze Coins Or Not
- Patenting Quantum Computing Innovations – Part 2: Implementing a Pauli Z Gate
- University of Pennsylvania Demonstrates Single-Gate Parallel Entanglement on Room-Temperature Diamond Quantum Register
- Why quantum scales on compute-per-watt, not qubit count
Show all 34 cited sources
- Post-Quantum Cryptography Is Becoming Mandatory For Financial Institutions
- ICTK and Jiran Security Partner on ‘Q-BRIDGE’ to Commercialize End-to-End PQC Migration Frameworks
- One Decade of Rustls: Evolution, Benchmarks, and Future Roadmap
- IonQ and Synopsys Accelerate CAE Computer-Aided Engineering Workloads by 14.6% via Trapped-Ion Hardware
- IonQ, ORNL, NVIDIA, and UT Knoxville Advance AI-Driven Generative Quantum Circuit Synthesis
- IonQ launches Superion 256, a quantum computer built for volume production
- ETH Zurich students build ‘first Swiss humanoid’, eye fundraising
- IBM and Lockheed Martin Partner with ETH Zurich to Deploy Switzerland’s First IBM Quantum System Two
- Using Azo Photoisomerization to Alter Semiconductor Film Properties
- EFF Welcomes Alexander Macgillivray to its Board of Directors
- The Silicon Heartland Wants To Be America’s Next Chip Powerhouse
- DOGE Affiliate Asked for College Credits for Participating in Takeover
- UCLA, Caltech, and NVIDIA Develop Fourier Neural Operator for Quantum Control Sequence Synthesis
- ‘Slop mathematics’: OpenAI walks away from a Caltech AI maths contest
- IQM to deploy Spark quantum computer at Brazil’s Eldorado Research Institute
- Finland's top-funded tech companies in H1 2026
- ‘The fixes are architectural, not bigger pipes’: OpenSSL President on what businesses can expect and how to prepare for a post-quantum internet
- Automatic Key Exchange: faster, post-quantum secure origin handshakes for 45 billion daily connections (and counting)
- Should US Open-Weight AI Labs 'Distill' Frontier Models Too?
- Six Chinese AI firms accused of aggressively copying US frontier models
- Infleqtion And Nvidia Reduce Physical-to-Logical Qubit Ratio in Quantum Computers
- A look at the race to build quantum computers, as the tech becomes a geopolitical battleground with potential to transform cybersecurity, finance, and more (Mark Bergen/Bloomberg)
- Cold TAKE: Amazon's New Encryption Method Still Doesn't Deliver Real Privacy
- Ring introduces a new encryption standard, makes it the default for cloud features
- Chip Industry Week in Review
- Quantum earnings Q2 2026: D-Wave, IonQ, and Rigetti publish financial results alongside newly IPO-ed IQM Quantum Computers
- Who’s News: Strategic Appointments at Quantum Motion, SQC, Lawrence Semiconductor, and Pasqal
- Pasqal and LG CNS Sign Three-Year MoU to Integrate Neutral-Atom QPUs into AI Data Center Infrastructure
Post-Quantum Security coverage is broadly spread, but NIST-linked cryptography and the Amazon Braket grouping supply structure while recent gains rotate toward post-quantum cryptography and a changing company roster.
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.
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Compass measures a dated, source-linked corpus of technology coverage — a curated panel of 140+ outlets, specialist publications, and primary sources, each read at the same steady pace, month after month. Every measurement opens back to the cited articles behind it.
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