Quantum Computing Statistics 2026
By Axis Intelligence Research and Sarah Mitchell | Last updated: June 17, 2026 | Next scheduled update: Q3 2026 (September) | License: CC BY 4.0
Quick Answer: The global quantum computing market reached $1.4 billion in revenue in 2025 — up from near zero in 2020 — with private venture capital investment more than doubling to $4.9 billion and cumulative global public funding reaching $56.7 billion, according to the QED-C State of the Global Quantum Industry 2026 report. Three hardware milestones in 14 months — Google Willow (December 2024), Microsoft Majorana 1 (February 2025), and IBM Nighthawk (November 2025) — have each redefined what “beyond-classical” means. And a countdown is already running: NIST published its first three post-quantum cryptography standards in August 2024, with the NSA mandating National Security Systems comply by 2033.
Key Findings
- The global quantum technology market reached $1.9 billion in 2025 — $1.4 billion from quantum computing and $470 million from quantum sensing — with revenues on track to double by 2028, per the QED-C State of the Global Quantum Industry 2026 report (April 2026, the most comprehensive annual quantum industry benchmark available).
- Private venture capital investment in quantum reached $4.9 billion in 2025 — more than doubling the prior year’s record — while cumulative global public funding commitments grew by $12.7 billion in a single year to reach $56.7 billion total, with the U.S. accounting for more than $2.7 billion in VC alone.
- In December 2024, Google’s Willow chip — a 105-qubit superconducting processor — completed a Random Circuit Sampling benchmark in under five minutes that Google estimated would take the world’s fastest classical supercomputer 10 septillion years, while simultaneously demonstrating error correction below the threshold for the first time.
- Microsoft unveiled Majorana 1 in February 2025 — the world’s first Quantum Processing Unit powered by a Topological Core, built on a new class of material called a topoconductor, designed to scale to one million qubits on a single chip and providing hardware-level error resistance rather than software correction.
- NIST published its first three finalized post-quantum cryptography standards (FIPS 203, 204, 205) in August 2024, triggering mandatory migration timelines: the NSA’s CNSA 2.0 requires all new National Security System acquisitions to be compliant by January 1, 2027, with full migration by 2033 — and the “harvest-now-decrypt-later” threat means the migration clock started the moment the first quantum computer signed a research paper.
The QRMI: Axis Intelligence’s Quantum Readiness Maturity Index
Published benchmarks measure quantum computing progress by qubit count, error rates, or market size. None cross-tabulates — across the sectors most exposed to quantum disruption — how mature the use cases are, how actively organizations are deploying quantum resources, and how prepared they are for the post-quantum cryptography transition that must happen regardless of when quantum advantage arrives.
Axis Intelligence Research introduces the Quantum Readiness Maturity Index (QRMI) — the first composite metric scoring six high-impact sectors across all three dimensions simultaneously.
QRMI Methodology
| Dimension | Weight | What it measures |
|---|---|---|
| Use case maturity | 40% | Existence of documented, validated quantum use cases with measurable advantage over classical approaches |
| Active investment/deployment | 35% | Direct organizational spending on quantum computing (hardware, cloud access, partnerships, R&D) |
| PQC migration progress | 25% | Progress toward post-quantum cryptography adoption (policy, implementation, compliance mandates) |
Formula: QRMI = (use_case_maturity × 0.40) + (active_investment × 0.35) + (pqc_migration × 0.25)
Scale: 0 = no readiness. 50 = active development. 100 = full quantum maturity.
Primary sources: QED-C SGQI 2026, NIST FIPS 203/204/205 and IR 8547 migration timelines, NSA CNSA 2.0, Grand View Research end-user data, D-Wave/IBM/IonQ customer disclosures, HSBC/JPMorgan quantum pilot documentation.
QRMI Results — June 2026 Snapshot
| Rank | Sector | Use Case | Investment | PQC | QRMI | Stage |
|---|---|---|---|---|---|---|
| 1 | Government / Defense / Intelligence | 60 | 90 | 80 | 75.5 | 🟢 Advanced |
| 2 | Financial Services / BFSI | 72 | 80 | 65 | 73.0 | 🟢 Advanced |
| 3 | Telecommunications | 55 | 55 | 70 | 58.8 | 🟡 Developing |
| 4 | Pharmaceuticals / Drug Discovery | 68 | 65 | 35 | 58.7 | 🟡 Developing |
| 5 | Logistics / Supply Chain | 50 | 45 | 30 | 43.2 | 🔴 Early |
| 6 | Healthcare / Clinical | 35 | 30 | 25 | 30.8 | 🔴 Early |
CC BY 4.0 — Axis Intelligence Research, June 2026. Dataset downloadable below.
The most counterintuitive finding: Pharmaceuticals (58.7) scores nearly identical to Telecom (58.8) despite having far stronger use cases for quantum molecular simulation. The gap is PQC migration — pharma organizations have paid almost no attention to their cryptographic exposure, while telecom operators are under direct regulatory pressure. Healthcare (30.8) is the least-prepared sector despite being the most dependent on data confidentiality — a mismatch that represents one of the least-covered risks in the quantum industry narrative.
The Market — What the Numbers Actually Say
The quantum computing market size is one of the most contested figures in technology journalism. Analyst estimates range from $1.4 billion (QED-C, revenue-based) to $132 billion (some forecasters, TAM-based) for 2026 — a 94-fold spread.
Understanding why the range is so wide:
Market size estimates diverge because analysts measure different things. Revenue-based estimates (QED-C, New Market Pitch) count actual money changing hands — hardware sales, cloud access fees, professional services. TAM-based estimates project addressable market for quantum computing if every potential use case were deployed today. The two figures are not in conflict; they measure different realities.
The credible revenue-based figures for 2026:
| Source | 2025 Quantum Computing Revenue | 2026 Estimate | Methodology |
|---|---|---|---|
| QED-C SGQI 2026 | $1.4B | ~$1.7–$2.0B | Industry survey + SEC filings, pure-play quantum companies only |
| New Market Pitch (2026) | — | $2.3B (range: $1.8–$3.0B) | Cloud consumption + hardware bookings reconciliation |
| Grand View Research | $1.42B (2024) | — | Bottom-up market model |
| Fortune Business Insights | $1.53B (2025) | $2.04B (2026) | Analyst model |
Axis Intelligence assessment: The QED-C figure is the most methodologically transparent — it is based on actual company-reported revenues from a survey of the quantum industry, cross-referenced against public filings. The $2.0–$2.3B range for 2026 is the most defensible current-year estimate. Projections beyond 2028 carry material uncertainty and should be used directionally only.
The investment picture (2025):
| Investment Type | Amount | Source |
|---|---|---|
| Private VC — global quantum | $4.9B | QED-C SGQI 2026 |
| Private VC — U.S. only | $2.7B+ | QED-C SGQI 2026 |
| Cumulative public funding — global | $56.7B | QED-C SGQI 2026 |
| Public funding increase in 2025 alone | $12.7B | QED-C SGQI 2026 |
| Quantum finance investments (2025) | $2.25B (+50% YoY) | Industry synthesis |
The most significant investment signal: private VC in quantum more than doubled year-over-year in 2025. This is the kind of acceleration that precedes commercialization waves — it mirrors the 2013–2015 cloud computing investment surge that preceded the first wave of enterprise cloud deployments.
Patent activity: China led global quantum-related patent filings in 2025 with 54% of total filings — despite the U.S. leading in virtually every other quantum metric. Total quantum patent filings grew 31% year-over-year, signaling intensified race for IP position ahead of commercialization (QED-C SGQI 2026).
Hardware Milestones — The 14 Months That Redefined the Field
Three announcements between December 2024 and November 2025 collectively moved quantum computing from “promising research” to “near-term commercial consideration.”
Google Willow — December 9, 2024
Google’s Willow chip is a 105-qubit superconducting quantum processor using transmon qubits, manufactured in Santa Barbara, California by Google Quantum AI. Its two landmark achievements, both published in a simultaneous Nature paper:
Error correction below threshold: For the first time, Willow demonstrated that adding more qubits to a surface code quantum error correction scheme reduced errors rather than compounding them. This “below-threshold” behavior is the foundational requirement for fault-tolerant quantum computing — it had been theorized since the 1990s and never experimentally demonstrated at scale before Willow.
Random Circuit Sampling benchmark: Willow completed an RCS computation in under five minutes. Google’s estimate: the same computation would take Frontier — the world’s fastest classical supercomputer — 10 septillion years (10²⁵ years, longer than the current age of the universe by a factor of roughly a quadrillion).
The honest context: The RCS benchmark is disputed. IBM and other researchers have argued that improved classical algorithms reduce the classical comparison time by orders of magnitude, making the 10-septillion-year figure overstated. Scott Aaronson, who served on Google’s quantum supremacy review in 2019, noted the benchmark is “the classically hardest benchmark that can be done on a quantum computer today” — which is precisely why critics argue it does not represent a practically useful computation. Willow’s error correction demonstration is the more durable scientific milestone.
Qubit coherence improvement: Willow’s T1 times (how long qubits retain quantum excitation) approach 100 microseconds — approximately 5× better than the prior generation Sycamore chip.
Microsoft Majorana 1 — February 19, 2025
Microsoft’s Majorana 1 represents the culmination of nearly 20 years of research into a fundamentally different approach to quantum hardware.
What makes it different: All other major quantum hardware — Google’s superconducting qubits, IBM’s Heron/Nighthawk processors, IonQ’s trapped ions — uses physical qubits that require extensive classical error correction overhead because they are inherently fragile. Topological qubits encode quantum information in a way that is inherently protected from environmental disturbances by the mathematical properties of the system itself — making them stable by design rather than by correction.
The topoconductor breakthrough: Majorana 1 is built on a new class of material — called a topoconductor — made from indium arsenide and aluminum, fabricated atom-by-atom. When cooled near absolute zero and manipulated with magnetic fields, these materials form topological superconducting nanowires, with Majorana Zero Modes (MZMs) emerging at the nanowire ends. A research paper published simultaneously in Nature describes the creation and measurement of these exotic quantum states.
Scale target: Microsoft states the topoconductor approach provides a clear pathway to one million qubits on a single chip — three orders of magnitude beyond current superconducting systems. Current Majorana 1 devices support 8 qubits.
The caveat: Microsoft’s topological qubit program has been controversial. A 2021 Nature paper claiming Majorana evidence was retracted. Independent researchers have noted that the February 2025 announcement, while a genuine materials science advance, stops short of demonstrating a fully operational topological qubit in the sense required for computation. The 2026 Improved Majorana Qubit Design announcement (June 2026, Quantum Computing Report) continues this trajectory.
IBM Nighthawk — November 2025
At the 2025 IBM Quantum Developer Conference, IBM announced Nighthawk — its most advanced processor — alongside updated roadmap commitments:
Nighthawk specs: 120-qubit square lattice with 218 tunable couplers (20% more than Heron), enabling 30% more complex circuits while maintaining low error rates. Supports 5,000 two-qubit gates per circuit today.
IBM roadmap milestones:
- 2025: Nighthawk processor, 5,000 gates (delivered)
- 2026: Kookaburra — first QEC-enabled module (logical qubits + quantum memory combined)
- 2026: 7,500 gate target for Nighthawk family
- 2027: Cockatoo — entanglement between two QEC modules
- 2028: Starling — 200 logical qubits, 100 million gates, first fully fault-tolerant system
- 2029: Full-scale fault-tolerant quantum computer
IBM also announced a 10× speedup in quantum error correction decoding — completed one year ahead of schedule — and a partnership with Cisco to build networked distributed quantum computing infrastructure.
IBM’s claim vs. reality: IBM states it is “the only company positioned to rapidly invent and scale quantum software, hardware, fabrication, and error correction.” Independent analysts note that IBM has successfully hit every roadmap milestone since 2019, making its 2026–2029 projections more credible than most competitors’ — but “fault-tolerant” and “quantum advantage” on commercially relevant problems remain undemonstrated.
The Qubit Count Trajectory
| Year | Leading System | Qubit Count | Company |
|---|---|---|---|
| 2019 | Sycamore | 53 | |
| 2021 | Eagle | 127 | IBM |
| 2022 | Osprey | 433 | IBM |
| 2023 | Condor | 1,121 | IBM |
| 2024 | Heron r2 | 156 | IBM |
| 2024 | Willow | 105 | |
| 2025 | Nighthawk | 120 | IBM |
| 2025 | Majorana 1 | 8 (topological) | Microsoft |
| 2026 (target) | Kookaburra | Logical qubits | IBM |
The important nuance: Raw qubit count is increasingly a misleading metric. IBM’s strategic shift from maximizing physical qubit count (Condor at 1,121) to maximizing qubit quality (Nighthawk at 120 but with superior error rates and gate depth) reflects the field’s maturation. The question is no longer “how many qubits?” but “how many usable, error-corrected logical qubits?”
The Post-Quantum Cryptography Imperative
Quantum computing’s most immediate, quantifiable, and time-bounded impact is not optimization or drug discovery — it is encryption.
The threat model: A sufficiently powerful quantum computer running Shor’s algorithm can break RSA, ECC, and Diffie-Hellman encryption — the cryptographic foundations of TLS, VPNs, digital signatures, and virtually all financial and government communications. No such computer exists today. The question is when it will.
The harvest-now-decrypt-later reality: Intelligence services worldwide are actively capturing encrypted data today, storing it, and waiting for quantum computers powerful enough to decrypt it. This means that any sensitive data encrypted with today’s algorithms — diplomatic communications, military plans, financial records, health records — may already be in adversary hands, awaiting decryption. The migration clock started years ago.
NIST’s August 2024 response:
On August 13–14, 2024, the U.S. National Institute of Standards and Technology published three finalized post-quantum cryptography standards:
| Standard | Algorithm | Purpose |
|---|---|---|
| FIPS 203 | ML-KEM (based on Kyber) | Key encapsulation — replacement for RSA and ECDH key exchange |
| FIPS 204 | ML-DSA (based on Dilithium) | Digital signatures — replacement for ECDSA and RSA signatures |
| FIPS 205 | SLH-DSA (based on SPHINCS+) | Hash-based fallback signatures with conservative security assumptions |
These standards are deployable today. NIST is encouraging all computer system administrators to begin transitioning immediately.
U.S. government migration mandates:
| Mandate | Deadline | Scope |
|---|---|---|
| NSA CNSA 2.0 | January 1, 2027 | All new NSS acquisitions must be compliant |
| NSA CNSA 2.0 | 2033 | Final mandatory compliance for most NSS |
| CISA / Executive Order 14144 | January 2, 2030 | TLS 1.3 (or successor) adoption required |
| White House NSM-10 | 2035 | Complete migration of all federal cryptographic systems |
The NSA’s CNSA 2.0, released September 2022, establishes a post-quantum baseline for National Security Systems — phasing out RSA, ECDH, and other legacy public-key cryptography. Existing NSS had until December 31, 2025 to meet CNSA 1.0 or request a waiver.
The governance gap: Despite clear mandates, enterprise preparedness lags significantly. Only approximately 25% of companies have undertaken any level of quantum risk preparation (industry synthesis). The gap between mandate and implementation is largest in healthcare and supply chain — precisely the sectors with the weakest QRMI scores and the most sensitive data.
The Workforce and IP Landscape
Workforce: The global pure-play quantum workforce reached nearly 16,500 professionals in 2025 — an increase of 2,000 workers in a single year, representing 14% growth (QED-C SGQI 2026). Alongside 11% growth in job and internship openings, the workforce is shifting toward business-oriented roles, signaling the transition from research to commercialization.
Patent race: China filed 54% of all global quantum-related patents in 2025 — leading all jurisdictions despite the U.S. leading in startups, VC raised, and revenue. Total quantum patent filings grew 31% year-over-year. The U.S. remains the second-largest jurisdiction for filings. This IP concentration pattern — China patents, U.S. commercializes — mirrors the semiconductor dynamic and has significant geopolitical implications for the next decade.
Company formation: 19 new quantum startups launched in the U.S. in 2025 — the most of any country (QED-C SGQI 2026). Startups (40%) and universities (33%) are the leading producers of quantum innovation.
The commercialization shift: More than half of quantum companies surveyed by QED-C anticipate at least 11% revenue growth from 2025 to 2026, with 37% projecting more than 25% growth. QED-C framed 2025 as the year that “quantum winter” definitively ended — replaced by what the consortium called a “protracted, high-growth spring.”
Early Commercial Applications — What’s Working Now
The QRMI data tells us which sectors are advancing. The underlying commercial evidence tells us where real problems are being solved.
Financial Services (QRMI: 73.0): HSBC used quantum simulations in 2025 to optimize pricing for derivatives. JPMorgan has run quantum options pricing experiments on IBM hardware. Quantum finance investments grew 50% in 2025 to approximately $2.25 billion. The primary application is portfolio optimization and Monte Carlo simulation acceleration — problems where quantum algorithms offer theoretical quadratic speedup over classical methods.
Drug Discovery (QRMI: 58.7): Roche, Merck, and Boehringer Ingelheim have active quantum computing partnerships. The primary application is molecular simulation — calculating the ground-state energy of complex molecules far faster than classical computers can. IBM’s pharmaceutical quantum partnerships have focused on protein folding and drug-target interaction modeling. No quantum-discovered drug has reached clinical trials, but quantum algorithms have demonstrated advantage on small molecule problems.
Logistics Optimization (QRMI: 43.2): D-Wave — which uses quantum annealing rather than gate-model quantum computing — has a commercial customer base of 135 organizations as of 2026. Applications include vehicle routing, job scheduling, and supply chain optimization. D-Wave’s approach is more commercially deployed than any other quantum hardware vendor, but its quantum annealing architecture is considered less general-purpose than gate-model systems.
Quantum Sensing (not in QRMI but commercially relevant): Quantum sensing — using quantum mechanical effects for ultra-precise measurement — already generates $470 million in annual revenue (QED-C SGQI 2026), making it the most commercially mature segment of quantum technology today. Applications include atomic clocks, gravimeters, magnetometers, and medical imaging.
Cloud Quantum Access: IBM, Google, Amazon Braket, Microsoft Azure Quantum, and IonQ all offer quantum computing as a cloud service. This model — quantum-as-a-service — is how most commercial experimentation occurs today, avoiding the capital cost of on-premises quantum hardware.
Geopolitical Landscape — The Quantum Race
Quantum computing has become a national strategic priority in a way that very few technologies have in the post-Cold War era. The QED-C SGQI 2026 report documents a global competition with no precedent outside the original space race.
U.S.: Leads in VC investment ($2.7B in 2025), revenue, startups, and deployed quantum systems. The National Quantum Initiative Act (2018) provided the legislative framework; NSF, DARPA, DOE, and DoD are all active funders. The White House’s NQIA reauthorization (2023) extended commitments through 2028.
China: Leads in patent filings (54% of global total in 2025). Has deployed operational quantum key distribution (QKD) networks at national scale — the Beijing-Shanghai QKD backbone is the world’s longest quantum-secured communication link. Chinese government funding for quantum technology is estimated at $15B+ cumulative, though precise figures are not publicly disclosed.
Europe: France’s Quantum Plan received an additional €1 billion ($1.16B) in funding announced by President Macron in 2025. The EU Quantum Flagship program commits €1 billion over 10 years. Germany, Netherlands (Delft, home to Microsoft’s quantum labs), and Denmark are key research hubs.
The 2025 Nobel Prize in Physics was awarded for quantum physics experiments — the United Nations simultaneously designated 2025 as the International Year of Quantum Science and Technology, elevating quantum computing from a technical conversation to a global policy priority.
Methodology
How Axis Intelligence Research and Sarah Mitchell compiled this data:
This report draws from five primary source categories:
- Named industry consortium reports: QED-C State of the Global Quantum Industry 2026 (April 2026, SRI International — the most comprehensive annual quantum market report, covering revenue, investment, workforce, and IP across the global quantum ecosystem)
- Company primary sources: Google Quantum AI blog and Nature paper (December 2024); Microsoft Azure Quantum Blog and Nature paper (February 2025); IBM Quantum Blog, IBM Quantum hardware page, IBM roadmap PDF (November 2025); D-Wave public customer disclosures (2026)
- Government and regulatory sources: NIST FIPS 203/204/205 (August 2024); NIST IR 8547 (November 2024); NSA CNSA 2.0 (September 2022); White House NSM-10 (May 2022); CISA January 2026 PQC product guidance; Executive Order 14144
- Market research (for cross-reference): Grand View Research quantum computing market (2025); Fortune Business Insights (2025); New Market Pitch market sizing analysis (2026)
- Patent and workforce data: QED-C SGQI 2026 patent analysis; workforce growth figures
QRMI proprietary index: Calculated by Axis Intelligence Research in June 2026. Use case maturity scores are based on documented commercial deployments and peer-reviewed quantum advantage demonstrations in each sector. Investment scores reflect documented organizational spending and partnership commitments. PQC migration scores reflect regulatory mandates, published compliance roadmaps, and sector-level preparedness assessments. The index will be recalculated quarterly.
Limitations:
- Quantum computing market size figures vary by 10x–90x across analyst sources. We use QED-C as primary reference due to methodology transparency.
- Hardware claims from companies (IBM, Google, Microsoft) reflect the issuing organization’s own benchmarks. Independent validation is limited.
- Google’s 10-septillion-year claim is disputed by IBM and other researchers. The error correction milestone is more broadly accepted.
- QRMI PQC migration scores reflect policy and mandate progress, not implementation completion — actual organizational readiness is likely lower than mandate coverage suggests.
- Classified government quantum computing deployments are excluded from all cited figures by definition.
About This Dataset
Dataset: Quantum Readiness Maturity Index (QRMI) v1.0
Version: 1.0 |
Release date: June 17, 2026 |
Next update: September 2026
License: CC BY 4.0 — use, adapt, redistribute with attribution
CSV download: Download QRMI dataset
Citation Block
APA: Axis Intelligence Research & Mitchell, S. (2026, June 17). Quantum computing statistics 2026: Market size, hardware milestones, and the encryption deadline. Axis Intelligence. https://axis-intelligence.com/quantum-computing-statistics/
MLA: Axis Intelligence Research and Sarah Mitchell. “Quantum Computing Statistics 2026: Market Size, Hardware Milestones, and the Encryption Deadline.” Axis Intelligence, 17 June 2026, axis-intelligence.com/quantum-computing-statistics/.
Chicago: Axis Intelligence Research and Sarah Mitchell. “Quantum Computing Statistics 2026: Market Size, Hardware Milestones, and the Encryption Deadline.” Axis Intelligence. June 17, 2026. https://axis-intelligence.com/quantum-computing-statistics/.
Embed This Research
<div style="border:1px solid #e2e8f0;border-radius:8px;padding:16px;max-width:620px;font-family:sans-serif;">
<p style="font-size:13px;color:#64748b;margin:0 0 8px;">Data: Axis Intelligence Research · QRMI v1.0 · June 2026 · CC BY 4.0</p>
<table style="width:100%;border-collapse:collapse;font-size:13px;">
<thead><tr style="background:#f1f5f9;"><th style="padding:8px;text-align:left;">Sector</th><th style="padding:8px;text-align:center;">QRMI Score</th><th style="padding:8px;text-align:center;">Stage</th></tr></thead>
<tbody>
<tr><td style="padding:7px;">Government / Defense</td><td style="padding:7px;text-align:center;font-weight:bold;">75.5</td><td style="padding:7px;text-align:center;">🟢 Advanced</td></tr>
<tr style="background:#f8fafc;"><td style="padding:7px;">Financial Services / BFSI</td><td style="padding:7px;text-align:center;font-weight:bold;">73.0</td><td style="padding:7px;text-align:center;">🟢 Advanced</td></tr>
<tr><td style="padding:7px;">Telecommunications</td><td style="padding:7px;text-align:center;font-weight:bold;">58.8</td><td style="padding:7px;text-align:center;">🟡 Developing</td></tr>
<tr style="background:#f8fafc;"><td style="padding:7px;">Pharmaceuticals</td><td style="padding:7px;text-align:center;font-weight:bold;">58.7</td><td style="padding:7px;text-align:center;">🟡 Developing</td></tr>
<tr><td style="padding:7px;">Logistics / Supply Chain</td><td style="padding:7px;text-align:center;font-weight:bold;">43.2</td><td style="padding:7px;text-align:center;">🔴 Early</td></tr>
<tr style="background:#f8fafc;"><td style="padding:7px;">Healthcare / Clinical</td><td style="padding:7px;text-align:center;font-weight:bold;">30.8</td><td style="padding:7px;text-align:center;">🔴 Early</td></tr>
</tbody>
</table>
<p style="font-size:11px;margin:10px 0 0;color:#64748b;">Source: <a href="https://axis-intelligence.com/quantum-computing-statistics/" style="color:#2563eb;">QRMI v1.0 — Axis Intelligence Research</a></p>
</div>
Frequently Asked Questions
What is the quantum computing market size in 2026?
The global quantum computing market generated approximately $1.4 billion in revenue in 2025, rising toward $2.0–$2.3 billion in 2026 based on QED-C SGQI 2026 data and New Market Pitch analysis. Total quantum technology revenue (including quantum sensing) reached $1.9 billion in 2025. Market projections for 2028–2034 range from $3 billion (QED-C, revenue-based) to $40+ billion (TAM-based forecasts), reflecting fundamentally different measurement approaches.
What did Google’s Willow chip achieve?
Google’s Willow chip (105-qubit superconducting processor, December 2024) achieved two milestones: it demonstrated quantum error correction below the threshold for the first time — meaning more qubits reduced errors rather than compounding them — and it completed a Random Circuit Sampling benchmark in under five minutes that Google estimated would take the world’s fastest supercomputer 10 septillion years. The error correction result is the more durable scientific milestone; the benchmark comparison is disputed by IBM and other researchers.
What is Microsoft’s Majorana 1?
Majorana 1 (announced February 2025) is the world’s first Quantum Processing Unit powered by a Topological Core. It uses a new class of material — a topoconductor made from indium arsenide and aluminum — to create topological qubits that are inherently error-resistant at the hardware level, rather than requiring software error correction. Microsoft targets scaling to one million qubits on a single chip using this approach. Current devices support 8 qubits; independent validation of full topological qubit operation remains ongoing.
What is the QRMI?
The Quantum Readiness Maturity Index (QRMI) is a proprietary composite metric from Axis Intelligence Research (June 2026). It scores six sectors across use case maturity (40%), active investment/deployment (35%), and PQC migration progress (25%). Government/Defense leads at 75.5 (Advanced); Healthcare scores lowest at 30.8 (Early) despite having the most sensitive data. Released under CC BY 4.0.
When will quantum computers break current encryption?
No consensus timeline exists, but government policy reflects a working assumption of practical cryptographic quantum computers by 2030–2035. The NSA mandates National Security System migration by 2033. The harvest-now-decrypt-later threat means adversaries may already be collecting encrypted data for future decryption, making migration urgent regardless of when a cryptographically-relevant quantum computer arrives. NIST published its first three post-quantum cryptography standards in August 2024 (FIPS 203, 204, 205), which are deployable today.
What is post-quantum cryptography?
Post-quantum cryptography (PQC) refers to cryptographic algorithms that are secure against attacks from quantum computers. Unlike current public-key cryptography (RSA, ECC), which can be broken by Shor’s algorithm on a sufficiently powerful quantum computer, PQC algorithms are based on mathematical problems believed to be hard for both classical and quantum computers. NIST’s FIPS 203 (ML-KEM), FIPS 204 (ML-DSA), and FIPS 205 (SLH-DSA) are the first finalized PQC standards, released August 2024.
How much is the world investing in quantum computing?
Global private venture capital investment in quantum reached $4.9 billion in 2025 — more than doubling the prior year — with U.S. companies raising more than $2.7 billion (QED-C SGQI 2026). Cumulative global public funding commitments reached $56.7 billion, growing by $12.7 billion in 2025 alone. China alone has committed an estimated $15 billion+ in public quantum funding, though precise figures are not publicly disclosed. France announced an additional €1 billion ($1.16B) for its national quantum plan in 2025.
Which industries are closest to quantum advantage?
By QRMI score, Government/Defense (75.5) and Financial Services (73.0) are the most advanced. Government has the highest investment and PQC urgency; finance has the most mature commercial use cases (portfolio optimization, derivatives pricing). Pharmaceuticals (58.7) has the strongest theoretical use cases but lags in PQC preparation. Healthcare (30.8) is the least prepared despite having highly sensitive data requiring urgent post-quantum cryptography migration.
What is IBM’s quantum computing roadmap?
IBM’s publicly stated roadmap targets: quantum advantage by 2026 (Kookaburra processor, first logical qubit integration with quantum memory); first fully fault-tolerant quantum computer by 2029 (Starling system, 200 logical qubits, 100 million gates). IBM’s 120-qubit Nighthawk processor (November 2025) currently supports 5,000 two-qubit gates per circuit, targeting 7,500 by end of 2026 and 15,000 by 2028. IBM claims its LDPC error correction approach requires 90% fewer physical qubits than Google’s surface code method.
What is quantum sensing and why does it matter?
Quantum sensing uses quantum mechanical effects to achieve measurement precision impossible with classical instruments. Applications include atomic clocks (enabling GPS), gravimeters (oil/gas exploration, underground mapping), magnetometers (medical brain scanning, submarine detection), and quantum-enhanced MRI. Quantum sensing is the most commercially mature quantum technology segment, generating $470 million in revenue in 2025 (QED-C SGQI 2026) — larger than quantum computing revenue — with less public visibility.