Quickly Quantum

Alice & Bob’s compiled estimate puts a possible RSA-2048 attack at 22,593 physical cat qubits and 3.14 days, while the required fault-tolerant hardware remains a projection. We also cover IQM’s full-chip entanglement result, a Shionogi research prize, Infleqtion’s at-sea clock test, and IonQ news.

Chapters

00:00 Today's headlines

00:55 IQM Emerald full-chip entanglement

03:00 Shionogi won NEDO Challenge prize

04:21 Infleqtion Tiqker clock operated at sea

05:38 IonQ AFRL allocation for drone links

06:36 Alice & Bob RSA-2048 cat-qubit estimate

09:28 Hype check on Alice & Bob estimate

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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.

Alice & Bob estimate that 22,593 physical cat qubits could factor RSA-2048 in 3.14 days, according to The Quantum Insider. RSA helps secure online banking, email and digital signatures, so a lower projected cost matters to organizations planning a shift to post-quantum cryptography. But the figure describes a theoretical resource estimate on fault-tolerant hardware, not a demonstrated attack. How should that change the urgency of migration? Today we’ll unpack what the estimate counts, what it assumes, and what it says about the security timeline. Welcome back to Quickly Quantum, your daily brief on the quantum frontier. It's Friday, October 30, 2026. Let's get into it.

A full-chip entanglement result puts every qubit in IQM’s Emerald processor into the same coordinated quantum state. IQM says its cloud-accessible Emerald system achieved a Greenberger–Horne–Zeilinger, or GHZ, state across all 54 qubits simultaneously, according to The Quantum Insider. Entanglement links quantum systems so their shared state can’t be described as separate pieces, and a GHZ state is a standard way to test that link across many qubits.

The result’s fidelity was 0.516 across the full processor with readout error mitigation applied, above the 0.500 threshold cited for distinguishing genuine entanglement from noise. Fidelity is a measure of how closely the prepared state matches the intended one; readout error mitigation is a method for correcting errors in measurement results. IQM also reported a fidelity of 0.515 at 40 qubits without readout error mitigation, again above that threshold.

Here’s why the system-wide part matters: studies on large chips often use only a fraction of the available qubits, and IQM says users of Emerald had previously been able to reliably use on the order of 30 qubits within a single algorithm. IQM says cloud customers can now access the full-chip performance. That gives users a chance to test computations across the whole processor, though entanglement by itself doesn’t show an application advantage.

The company credits improvements in calibration, gate selection and automated state preparation. Its routine chooses two-qubit gates while balancing gate fidelity against qubit idle time, selecting the qubits and gate order to minimize waiting as the state is built. IQM says its hardware and calibration work led to an error-rate reduction of up to 50% for quantum operations in the processor.

What’s the most useful signal here for you? The complete-chip result tests whether the processor can operate as a coordinated system, while the threshold and mitigation details tell us how to interpret the measurement. I think this is a meaningful access-and-integration milestone; I’d want evidence from useful algorithms before calling it computing progress beyond the benchmark.

Meanwhile, another quantum company is making news through a customer’s research result—and the distinction between the two matters. Shionogi won first place in the Quality of Life category of the NEDO Challenge for quantum-assisted drug discovery research, according to ad-hoc-news.de. The project included a peer-reviewed study integrating D-Wave’s annealing technology into a generative AI model for molecular design. Annealing is a quantum-computing approach used to search for good solutions to optimization problems.

The ¥40 million prize supports Shionogi’s further work. It went to D-Wave’s customer, not to D-Wave, so it isn’t D-Wave revenue. That is a real research connection, but the award itself doesn’t establish how well the technology performs in commercial drug discovery.

D-Wave’s own account described the result on X. @dwavequantum posted: ‘Yesterday, D-Wave announced that our customer @SHIONOGI_JP has won first place in the Quality of Life (QOL) category of the NEDO Challenge for quantum-assisted drug discovery research, using D-Wave™ technology.’

The wider story also describes lawsuits challenging D-Wave’s reported order intake, a legally non-binding letter of intent with LG CNS, and no disclosed contract value for that agreement. Those are distinct developments, and none changes who received the prize. I think the customer’s research is the substantive point; the careful wording is the commercial point.

Turning from drug research to a field test at sea, Infleqtion says its Tiqker optical atomic clock operated continuously for two weeks aboard the U.S. Navy’s RV Merlin, according to Quantum Zeitgeist. The clock endured large temperature swings and sustained vibration during the Maritime Big Play Pacific and BARB-26 exercises.

An optical atomic clock uses precise changes in atoms to keep time. That matters in a setting where the clock’s potential use includes timing independent of GPS, which supports navigation and coordination when GPS isn’t available. The test evaluated the technology’s potential for naval integration and operation independent of GPS, Infleqtion says.

Infleqtion CEO Matthew Kinsella said, “The Navy needs dependable timing to navigate, communicate and coordinate operations in the field.” The company says the sustained operation builds on previous trials and informs development of timing solutions for forward-deployed forces. The combined testing provided an extended period to gather operational data that will help advance the clock’s integration into naval platforms.

You get a demanding environment here, and an endurance result—not a published accuracy figure. I think the at-sea operation is useful evidence that the clock can run through challenging conditions; its value for navigation depends on the timing performance the test establishes.

On the defense-technology front as well, IonQ secured a $7.5M AFRL Phase 2 allocation to expand its quantum network toward free-space drone links, according to the supplied Quantum Zeitgeist story gist. The allocation sits within an existing $21.1M collaboration, rather than adding new money beyond that program. Free-space links send information through open air rather than through a physical fiber connection.

The report describes an expansion of the Rome, NY quantum network using free-space optics for drone or aircraft links. A quantum network is designed to connect quantum systems, and the link is the physical route that carries information between them. That makes the proposed direction clear, while the specific allocation remains part of the larger collaboration.

The reported development is a program allocation aimed at expanding network work, not evidence here of an operational drone connection. For you, the practical question is whether those links move from a funded research effort to a working network.

That's the rest of today's quantum news. Now, the story I want to slow down for. Alice & Bob’s estimate asks what a fault-tolerant quantum computer built around its cat-qubit approach might require to run Shor’s algorithm against RSA-2048. RSA is a public-key encryption system used to secure things including online banking, email and digital signatures; Shor’s algorithm is a quantum method that can factor large integers, the mathematical basis behind RSA’s security.

We’ve covered Alice & Bob’s cat-qubit progress before; the basic idea is that the design aims to suppress one kind of error in the hardware, reducing some of the work required from error correction. The new development is a compiled resource estimate, with a detailed schedule and layout for the physical qubits involved. That precision matters because a headline qubit count is more informative when it comes with an estimate of how long the calculation takes.

The Quantum Insider reports that Alice & Bob’s researchers estimate 22,593 physical cat qubits and 3.14 days on fault-tolerant superconducting quantum hardware for RSA-2048. A physical qubit is the hardware component; fault tolerance means the machine is designed to detect and correct errors during a computation, rather than letting them overwhelm the result.

The same study estimates 29,588 physical qubits and 61.8 minutes for the 256-bit elliptic-curve discrete logarithm problem. Elliptic-curve cryptography is another family of public-key methods, used in systems including digital signatures and setting up encrypted connections. For Bitcoin, the article says about an hour is longer than the network’s 10-minute block time, so transactions in progress remain out of reach.

The team says it went beyond counting the logical qubits an algorithm needs and multiplying by an average hardware overhead. For the most resource-intensive parts, it worked out what each physical qubit does and when, producing chip layouts and schedules. Logical qubits are the error-corrected units an algorithm operates on; physical qubits are the actual hardware used to build them.

The estimate rests on cat qubits, LDPC-cat codes and a redesigned adder. Cat qubits suppress bit-flip errors at the hardware level, so error correction can focus on phase-flip errors. LDPC-cat codes are an error-correction method; the paper says they are more efficient than the repetition code used in Alice & Bob’s earlier estimates, and that they more than halve the RSA-2048 qubit count, from 49,649 to 22,593. The redesigned adder handles addition, an operation Shor’s algorithm runs often, at a steady speed without stopping to wait for error correction.

Alice & Bob also says the team drew on recent work from Inria and Google to improve the algorithms. The result is a specific, carefully compiled estimate of a possible future machine’s workload. That’s the case for taking the number seriously as a technical calculation.

But a carefully compiled estimate still depends on the machine behaving the way the model assumes. The Quantum Insider describes the results as theoretical resource projections, not demonstrations of cryptographic attacks. Alice says substantial engineering challenges remain.

There’s also a comparison in Alice & Bob’s announcement: it says its architecture needs 40 times fewer physical qubits than Google Quantum AI’s Craig Gidney 2025 estimate for breaking RSA-2048. That comparison comes from Alice & Bob, and the article presents it as the company’s claim; it doesn’t supply an independent comparison on equal assumptions. So the striking number shouldn’t be treated as a settled ranking between architectures.

Alice & Bob CEO Théau Peronnin said, “Shor’s algorithm is the iconic benchmark for quantum computing, with a well-defined mathematical problem and a clear quantum advantage. Estimates of the resources needed to run the algorithm have been steadily falling as the field has developed better approaches to error correction and algorithm design. This latest estimate doesn’t just push that frontier, it changes the paradigm altogether: fewer than 23,000 physical cat qubits could be enough to factor RSA-2048 in just three days.”

That statement makes the company’s case: compile the algorithm against a particular hardware design, and the projected resources fall. Professor Antoine Joux, a cryptanalysis specialist and Gödel Prize laureate, said the paper “details how you implement these algorithms on Alice & Bob’s physical architecture and once again reduces the resources required to do so.” He called it “an important paper” for people tracking when the threat becomes real. That is a strong case for the estimate’s technical relevance, though it doesn’t tell us when hardware at the required scale will exist.

What does that mean for organizations responsible for internet security? Alice & Bob says replacing cryptographic infrastructure across large organizations can take years, and that US and UK guidance calls for completing the transition to post-quantum cryptography by 2035. It recommends that organizations begin that transition now as quantum research reduces projected hardware requirements. The article also says post-quantum schemes need continued testing and scrutiny, because confidence comes from surviving attempts to break them.

I think this should raise the seriousness of migration planning, because the work narrows a resource estimate for an attack on widely used encryption and connects the calculation to a specific hardware architecture. I’m less certain that one vendor’s compilation settles how soon the threat becomes practical; an independent compilation check or peer review that materially changes the estimate would change my view. The strongest point against treating this as an immediate countdown is that the machine described here is a fault-tolerant projection, not a demonstrated system.

The useful distinction for you is between a more concrete estimate of what a future attack might require and evidence that such a machine is available. The estimate makes the engineering and migration question sharper. It does not show that RSA-2048 has been broken.

Time for the Hype Check. I’d give this a 7 out of 10 for substance: the detailed physical-qubit schedules and the reported algorithm and error-correction choices are substantial, while the central limit is that the attack remains a theoretical projection on fault-tolerant hardware.

The stake is the security of online banking, email and digital signatures, and today leaves migration planning facing a sharper technical estimate—but how much will independent scrutiny change the projected cost?

If this kind of clear-eyed look at quantum claims is useful, follow today's episode 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 Space Stakes: the business of the new space race, every day. What actually flew, what the contract is really worth, and who has customers. Find it wherever you get your podcasts.