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ACIS · QUANTUM COMPUTING RADAR · ISSUE 001 · 2026.08.23

From the Qubit Race
to Systems Engineering

Quantum Computing Research Radar · Issue 001

Scientific progress is significant, but repeatable commercial revenue remains scarce. The next bottleneck is a complete system that scales, ships, runs repeatedly in the cloud and creates customer value.

Fault ToleranceLogical QubitsQuantum CloudCommercial Proof

AI BRIEFING · QUANTUM 001

Quantum commercialization in 90 seconds

Scientific progress · Engineering progress · Commercial proof

ACIS RESEARCH01 / 04
SYSTEM

Systems engineering takes over

Q
From physical qubits to verifiable customer value

EXECUTIVE SUMMARY

Quantum computing is moving from a chip race into a systems-engineering race

Competition is expanding beyond single chips and physical-qubit counts into cryogenic systems, modular interconnects, real-time decoding, cloud availability, customer delivery and revenue quality.

Science sets the ceiling; engineering repeatability determines delivery; paying customers and cash flow determine commercial value.

01 · KEY CHANGES

Cryogenics, cloud deployment and delivery organizations become the new focus

IBM

Connected two cryogenic modules below 15 millikelvin, targeting at least 1,000 programmable qubits in 2027. This validates infrastructure, not fault-tolerant computing. IBM ↗

Rigetti

Created a dedicated Systems Delivery organization spanning manufacturing, supply chain, installation and customer engineering. This is commercialization preparation, not new revenue. Rigetti ↗

IonQ

Q2 revenue reached $80.1 million, up 287%, with full-year guidance of $280–290 million. Revenue spans computing, networking, sensing, security and acquired assets, so it is not pure compute usage. IonQ ↗

Quantinuum + Oracle

Helios is moving into OCI infrastructure. It has 98 physical qubits and demonstrated 48 logical qubits, but paid customers, utilization and revenue remain undisclosed. Oracle OCI ↗

02 · EVIDENCE LADDER

Three layers of evidence must remain separate

01Scientific ProgressLogical qubits, error rates, algorithmic experiments
02Engineering ProgressInterconnects, cryogenics, control, uptime
03Commercial ProofPaid usage, customer ROI, cash flow

IBM and the University of Chicago demonstrated 70 logical qubits, 2,415 logical two-qubit operations and 468 logical T gates, with logical error rates ten times lower than physical errors. It is important science, but a hard-sampling experiment is not customer ROI in drug discovery, finance or industrial design. IBM / UChicago ↗

03 · MATURITY SCORE

Industry maturity: 47 / 100

Weights: scientific validation 25%, engineering repeatability 25%, paid deployment and revenue quality 30%, customer access 10%, execution and funding 10%.

PlatformMaturityCurrent view
IBM82Engineering and ecosystem leader; revenue transparency limited
Quantinuum75High-fidelity system entering cloud validation
IonQ73Revenue leader; composition needs scrutiny
D-Wave61Production use cases; small and volatile
Google60Scientific leader; commercial access limited
Rigetti55Early on-premise delivery
Microsoft52High potential, high technical risk

Scientific maturity is ahead of engineering and commercial maturity. Public pure-play quantum companies currently resemble capital-market-funded technology options more than mature computing platforms supported by free cash flow.

04 · EMERGING-LEADER RADAR

Emerging-leader radar

  1. 01
    IBM · UP

    The week's most important modular-cryogenic milestone; next comes Nighthawk stability and interconnect data.

  2. 02
    Quantinuum · LEADING WATCH

    High-fidelity hardware plus OCI distribution is promising, but real cloud usage must validate it.

  3. 03
    IonQ · COMMERCIAL LEAD, ACCOUNTING WATCH

    Revenue scale leads, but computing, networking, sensing, security and acquired revenue need separation.

  4. 04
    Rigetti · DELIVERY WATCH

    The organizational move is sound; on-time installation, acceptance and cash collection must prove it.

  5. 05
    D-Wave · APPLICATION WATCH

    Production use cases are relatively clear, but H1 bookings included a $20 million system sale, leaving concentration and recurring revenue concerns. D-Wave ↗

05 · 90-DAY CATALYSTS

The next verifiable catalysts

  1. IBM stability, interconnect and runtime data after installing Nighthawk in the modular cryogenic system.
  2. IonQ disclosures on its 256-qubit system, error correction and segment revenue composition.
  3. Whether Oracle OCI opens quantum-service preview and attracts initial paying customers.
  4. Rigetti delivery, acceptance and revenue recognition for the 108-qubit C-DAC system.
  5. D-Wave system delivery, revenue recognition and the production share of QCaaS usage.
  6. Whether Microsoft provides peer review, external access and multi-qubit results for Majorana 2. Microsoft ↗
  7. Whether Google publishes new logical-error rates, early-access customers or verifiable application results.
WHAT CHANGED

Competition expanded from single chips into cryogenics, interconnects, cloud and delivery systems.

SO WHAT

Physical-qubit counts are no longer enough; repeatable engineering and revenue quality determine durable valuation.

NOW WHAT

Raise research priority for IBM modular systems, Quantinuum cloud deployment and IonQ revenue decomposition.

Source framework: company, regulatory and research disclosures available through 23 August 2026. Maturity scores compare relative stages and are not investment advice.