Quickly Quantum

IonQ raised its 2026 revenue outlook after a record quarter, with revenue spanning its quantum-computing platform and SkyWater foundry services. The episode also explains quantum error correction and covers new IBM, AMD, ORNL and Quantinuum platform and software developments.

Chapters

00:00 Today's headlines

00:55 Protecting quantum information

01:57 IBM, ORNL and AMD launch platform

03:56 Quantinuum raised revenue outlook

05:42 Quantinuum Nexus software roadmap

07:32 IonQ revenue from platform and foundry

10:31 IonQ profit and warrant values

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What is Quickly Quantum?

The daily quantum computing briefing you don't need a physics degree to follow. Every day, Quickly Quantum cuts through the hype to bring you the breakthroughs, funding rounds, policy moves, and research that actually matter, with plain-English analysis a smart non-physicist can follow. Hosted by Brian Lampert. AI-voiced, human-built, always skeptical of press releases. Nothing on this show is financial advice.

Also from Brian Lampert: Concrete Compute and Space Stakes.

IonQ reported $173.8 million in third-quarter revenue, and raised its 2026 forecast to between $505 million and $515 million, according to The Quantum Insider. That’s a striking set of numbers for a field where the harder question is what kind of business is growing: quantum-computing systems, manufacturing services, or both. IonQ’s reported profit also reflects a noncash change in warrant values, so the headline result needs a careful read. Today we’ll sort the durable sales signal from the accounting and the wider business mix. Welcome back to Quickly Quantum, your daily brief on the quantum frontier. It's Friday, November 6, 2026. Let's get into it.

Quantum error correction is a way to protect quantum information from mistakes caused by noise and other disturbances. A quantum computer stores information in delicate states, so the aim is to spot errors and correct them without exposing the information being protected.

The basic idea is to encode information across additional quantum bits, then measure signals that reveal what went wrong. Those signals are called error syndromes; they identify errors without directly measuring the protected information itself. A decoder uses those signals to work out a recovery operation. The process has three broad parts: encode the information, let it be stored or transmitted, then extract error signals and recover.

The code has to fit the kinds of errors the system experiences. In computing, the challenge also includes imperfect gates, state preparation and measurements, so correction has to work alongside the operations that make up a calculation. That’s the point: error correction is a method for making fragile quantum information more usable, and it helps explain one of the headlines coming up.

The error-correction idea moves from theory into a tightly connected machine room in this next story: IBM, Oak Ridge National Laboratory and AMD have launched a co-design platform at IBM’s facility in Poughkeepsie, New York, according to Quantum Computing Report. It brings IBM’s 120-qubit Quantum Nighthawk r2 processor together with ORNL’s Umbra supercomputer, powered by AMD Instinct MI355X accelerators and 5th Gen AMD EPYC CPUs.

Why put those systems together? Quantum error correction depends on classical computers processing error signals quickly enough to guide the quantum machine. Quantum Computing Report says the co-location is designed to reduce network delays and enable sub-millisecond round-trip feedback. The platform’s processor has dynamic mid-circuit measurement and fast reset, which lets researchers measure part of a calculation while it’s running and prepare it for what comes next.

The work focuses on multi-layered error-correcting codes: one layer protects local groups of quantum bits, while another aims to handle correlated errors across modules. ORNL’s classical system is meant to accelerate the decoding step, turning the measured signals into instructions for recovery. The platform also links to research using quantum simulations alongside data from ORNL’s Spallation Neutron Source to study frustrated magnetic materials.

AMD posted on X, “Quantum progress. Powered by collaboration. We're excited to announce we're launching a new co-design platform with @IBM and @ORNL's @QuantumSciCtr to advance quantum error correction.” That captures the partnership’s purpose; the more technically useful detail is the fast feedback loop the combined system is built to investigate.

Quantum Computing Report says the testbed informs IBM’s roadmap toward its modular fault-tolerant system, IBM Quantum Starling, planned for 2029. A connected classical computer can help researchers study the decoding bottleneck, and this is a platform for that work—not a report of a new logical-qubit milestone.

Alongside IonQ’s earnings, Quantinuum has also raised its revenue outlook after a major customer commitment. The Quantum Insider reports that Quantinuum’s third-quarter revenue was $9.1 million, up 233% from a year earlier, and that its new full-year forecast is between $31 million and $34 million. The company had previously forecast between $28 million and $32 million.

The deal is a multiyear extension with a leading global financial institution. The customer isn’t named. The agreement includes committed access to Apollo, which Quantinuum plans to introduce in 2029, as well as Nexus, its software platform for developing and running quantum applications. The Quantum Insider says Nexus adoption reached 215 organizations.

This is a single-source account, and we haven’t independently confirmed it. Quantinuum also reported a quarterly net loss of $118 million, compared with $52 million a year earlier, and ended September with $1.94 billion in cash and cash equivalents. Those figures matter because revenue growth and a future customer commitment don’t tell the whole financial story.

Company chief executive Rajeeb Hazra said in a statement, “In the third-quarter, we extended our technology leadership in the critical area of fault-tolerance, added to our customer base, and expanded our routes to market.” He added, “This accelerated momentum is supporting our raised revenue outlook for 2026 and giving us more confidence than ever in the opportunity in front of us.”

The commitment is meaningful because a customer is signing up for access to a system that’s still planned, while today’s revenue is already being reported. I think that makes this a useful commercial signal, but Apollo’s delivery remains the part that has to turn the promise into working capability.

The Apollo commitment also gives context to Quantinuum’s new software roadmap. Quantum Computing Report says the company has mapped out how Nexus will progressively automate quantum error correction, runtime telemetry—the collection of information about a system as it runs—and coordination between quantum and classical computers.

The roadmap moves through Develop, Optimize and Deploy. In Develop, the tools are intended to automate encoding and provide logical building blocks and fault-tolerant algorithm libraries. In Optimize, Quantinuum plans real-time error diagnostics, recovery and dynamic scheduling of measurements during a calculation. Deploy is meant to coordinate quantum processors with high-performance computing systems and enterprise clouds.

The roadmap aligns commercial Helios systems with Sol in 2027 and the planned Apollo processor in 2029. Quantum Computing Report says Nexus supports more than 200 enterprise and research groups, up 45% in 2026, and reports a 10× surge in job submissions. These adoption measures describe software use; they don’t establish that the planned fault-tolerant capability is already delivered.

A December update is expected to introduce dynamic branching routines, in which classical processors use intermediate measurement results to steer a quantum circuit while it runs. That’s the most concrete near-term software milestone in this account. I’m interested in whether the automation makes it easier to carry applications from today’s hardware toward future systems; for now, the roadmap describes a direction, with the December update the next stated addition.

A smaller software update comes from Qiskit: @qiskit posted on X that its Functions Catalog now welcomes “Dynamic Simulator” from @qctrlHQ and “SQOASolver” from @Jij_Inc. It also invites developers to integrate quantum into application workflows.

That's the rest of today's quantum news. Now, the story I want to slow down for.

IonQ’s quarterly results show a business growing across quantum computing and chip manufacturing, and those streams don’t mean the same thing. IonQ builds trapped-ion computers, which use electrically charged atoms to store and process quantum information. The Quantum Insider reports the company’s third-quarter revenue was $173.8 million, up 336% from a year earlier, and calls it the company’s sixth consecutive record quarter.

The Quantum Insider says IonQ raised its 2026 revenue outlook to between $505 million and $515 million, and expects quantum computing revenue to grow 110% for the year. Those are company figures carried by the outlet. The distinction matters: the forecast for total revenue includes SkyWater Foundry Services, while the quantum-computing growth figure is a separate company expectation.

The Quantum Insider reports IonQ Platform revenue rose 127% to $90.3 million, supported by global deployments of its Tempo quantum computers. SkyWater Foundry Services contributed $83.5 million in revenue. The company also said revenue from quantum customers other than IonQ increased more than 30%.

That split gives the result more texture than a single top line. IonQ is selling access to its own computers while also reporting revenue from manufacturing services, including business with other quantum hardware developers. A foundry manufactures chips for other companies; SkyWater’s contribution therefore reflects a different part of the business from revenue tied to IonQ’s own platform.

Company chairman and chief executive Niccolo de Masi said, “I am pleased to report that IonQ delivered its sixth consecutive quarter of record results and the strongest quarter in our company’s history.” He continued, “Third quarter revenue of $173.8 million reflects increasing demand for our quantum technologies and the benefits of our vertically integrated quantum manufacturing capabilities through SkyWater.”

The Quantum Insider also reports that IonQ advanced to Stage C of DARPA’s Quantum Benchmarking Initiative and announced a planned Superion 256 deployment at NVIDIA’s research center. In de Masi’s statement, the final stage of the initiative includes a potential program value of up to $300 million. He said NVIDIA will deploy the Superion 256 as the first on-premise quantum computer at its Accelerated Quantum Research Center, connected directly to its AI supercomputing infrastructure.

Those are company-described developments, and the words planned and potential matter: the deployment is future-facing, and the program value is not presented as guaranteed revenue. The company’s case is that manufacturing, system deployments and high-profile partnerships are contributing to demand. De Masi called the developments “meaningful validation” of IonQ’s technology and commercial strategy. That’s the strongest version of the growth story; the financial details complicate it.

But the reported profit needs a different lens from the revenue. The Quantum Insider says IonQ reported quarterly net income attributable to the company of $564 million, or $1.42 a share, and that the profit reflected a noncash accounting effect from changes in warrant values. The same account reports an adjusted loss before interest, taxes, depreciation and amortization of $133.6 million, and an adjusted loss per share of 29 cents.

So the headline profit doesn’t describe cash generated by the operating business. And the revenue figure combines platform sales with foundry services. The company’s own breakdown helps: $90.3 million in IonQ Platform revenue and $83.5 million from SkyWater Foundry Services. The balance between those activities is central to how I read this quarter.

I think the quarter is a real commercial step, because the company reported growth in its platform revenue alongside foundry revenue from quantum customers beyond IonQ. But I’m less persuaded by a broad claim of durable quantum-computing growth from the total alone. The company’s forecast for quantum computing revenue is encouraging, while its reported adjusted losses and the warrant-related accounting effect show why revenue, profit and operating performance need to be kept distinct.

The announcement also bundles several kinds of validation. A Stage C advance in a DARPA initiative is a program milestone; the NVIDIA system is planned; SkyWater revenue reflects manufacturing services. Each may matter, but they answer different questions. A planned installation shows a customer intends to deploy a system, while reported revenue tells us what was recognized in the quarter. Neither by itself establishes how broadly customers will use quantum computers for valuable work.

I’m glad to see the company’s quarter include actual platform revenue and foundry sales to other quantum customers, because that’s more informative than a roadmap alone. I’d change my read if later results showed quantum-computing revenue becoming a sustained, clearly reported driver while the manufacturing contribution and the accounting effects remained visible. For people building or buying in this field, that separation matters: the headline growth number is only useful when you know which business produced it.

Time for the Hype Check. I’d give this a 6 out of 10 on substance: the strongest point against that score is the reported adjusted loss, but platform revenue growth and the stated customer activity give the quarter more weight than a forecast alone.

IonQ’s 2026 revenue forecast now sits between $505 million and $515 million; the next quarterly results will show how much of that business is coming from quantum computing and how much from foundry services.

If this careful look at the numbers is useful, follow Quickly Quantum wherever you listen. This has been Quickly Quantum, an AI-voiced podcast, created and built by a real human using today's cutting-edge technology. Nothing you heard on this show is financial advice. I'm Brian Lampert, and I'll catch you all tomorrow — take care!

Watching on YouTube? Hit subscribe, and tomorrow's briefing will be waiting for you. I also host Concrete Compute: a daily briefing on the AI buildout. The datacenters, the megawatts, and who actually pays for them. Find it wherever you get your podcasts.