Oratomic announced a $300M Series A raise.

Oratomic is a California-based quantum computing company that emerged from CalTech. John Preskill is listed as an advisor.

They are focused on the Neutral Atom modality. Some people think that Neutral Atoms will be one of the top 3 modalities, along with Superconducting and Trapped Ions. Some people think that Superconducting is just too expensive to ever be a viable modality. I’m not convinced that Superconducting is out of the running; they may find a way to reduce build costs over the next few years. Regardless, Oratomic is quite interesting.

First, they delivered a very compelling error correction story when they announced their formation earlier this year. Their initial 6100 physical qubit system portrayed a clear path to a 10,000 physical qubit system that can deliver fault-tolerant capabilities. Previously, it was thought that true fault-tolerant systems required 1,000,000 physical qubits. A 100x improvement means less complexity, and likely a much lower cost of solution.

Read “Shor’s algorithm is possible with as few as 10,000 reconfigurable atomic qubits”

Second, they are emerging at an interesting time. The market is orienting around several companies that have been building quantum for a decade or more. Oratomic is new, and sometimes new entrants have something innovative aand are not held back by their legacy. I think Oratomic has both of these. Oratomic is mostly unencumbered by having to convince the world that quantum computing is possible. Their starting point is far ahead of the incumbents, and they have a running start, rather than a crawl.

Third, John Preskill is a luminary in the field, one of the leading academics. His joining a commercial entity means he genuinely believes that Oratomic has the goods. I wouldn’t weigh Oratomic solely on this, but his presence means, at least, that Oratomic has a shot at being a key player in the Neutral Atom space, and perhaps in Quantum Computing generally.

Oratomic says that they expect to deliver a fault-tolerant machine by the end of this decade. I suspect that they will achieve that sooner.

The quantum era is far from over: expect new entrants, new techniques, new breakthroughs.

Update: Scott Aaronson, a leading quantum information researcher and academic, is also listed as an investor. Having Preskill and Aaronson involved is meaningful.

IQM (IQMX) began trading on NASDAQ July 2, 2026, and is now part of QTI.

IQM is a Finnish superconducting quantum computing company.

Some key facts:

• Founded 2018
• Have sold 23 systems
• $36M in 2025 revenues, $100M in bookings

IQM is generally considered to be a European leader in superconducting quantum computing. Selling twenty-three system is a strong result, and demonstrates its ability to manufacture, sell, and support quantum computers. Recently, they sold a system to Oak Ridge National Laboratory in Tennessee.

Revenues are on par with Quantinuum, Rigetti, Infleqtion, and D-Wave.

Fault-Tolerant Roadmap:

• 2027 - 36 Logical Qubits
• 2028 - 180 Logical Qubits
• 2030 - 720 Logical Qubits
• 2032 - 7200 Logical Qubits

While it is not the most impressive roadmap, I, as you might expect if you have been reading my Notes, will assume some acceleration. Perhaps IQM achieves its 2030 target in 2029.

I have added IQMX to the Quantum Technology Index.

Today, Microsoft published a blog post about the shifting timeline for Q-Day.

In essence,

“Advances in quantum research and development have shifted the risk horizon. We believe cryptographically relevant quantum computers could arrive sooner than previously expected—and the work required to prepare is significant so organizations need to start now.”

As I have stated before, acceleration is a feature of Quantum Computing. AI is driving acceleration, especially in error correction. Engineering and commercialization is driving acceleration in the availability of working quantum computers. Microsoft is taking note.

While I am putting Q-Day in 2028, Microsoft is shifting their timeline to be ready by 2029, which aligns with most major tech firms.

“In response to these shifts, we are accelerating the Microsoft Quantum Safe Program (QSP) timeline with the goal of transitioning critical products and services to PQC by 2029.”

Consider this another reminder to update your systems to support PQC.

QuEra published a new roadmap on June 25, 2026. You can read about it on their site.

Key takeaway — QuEra is accelerating.

Acceleration is an important trait of the quantum sector. It is driven by the forces of commercialization, engineering, AI, and competition. These factors have allowed companies to build NISQ era computers (ie building a quantum computer in order to learn how to build a quantum computer), and position them for the fault tolerant era on the horizon.

QuEra has a major backer in Google, who has funded its venture rounds. Google has also decided to invest in neutral atoms, in addition to superconducting, via a partnership with University of Colorado at Boulder, NIST, and QuEra.

Their roadmap features two important milestones. First, in 2028 they intend to deliver a 256 logical qubit system with 99.9999% logical error rate. Second, in 2029, they intend to deliver a 1000+ logical qubit system with 99.999999% logical error rate. These are both big numbers.

There are some experts who believe that useful quantum computers are 10 years away. 1000+ logical qubits is very compelling, and is enough to achieve Commercial Q-Day, but not quite enough to achieve Cryptographic Q-Day. While 2029 is about 3 years away, keep in mind that additional acceleration is likely to occur.

As a side note, the US government’s Genesis mission to build a scientifically meaningful fault tolerant quantum computer by 2028 with 100s of logical qubits is being funded. 2028 is only two years away. My sense is that the government and industry have a high degree of confidence that this date can be achieved.

Here’s our current roadmap tracker:

LQ = Logical Qubits. PQ = Physical Qubits.

Vendor	Technology	2026	2027	2028	2029	2030
IonQ	Trapped Ion	100 PQ	800 LQ	1600 LQ	8000 LQ	80000 LQ
QuEra	Neutral Atoms	100 LQ	100 LQ	256 LQ	1000 LQ	—
IQM	Superconducting	—	36 LQ	180 LQ	—	720 LQ
PsiQuantum	Photonic	—	—	100 LQ	1000 LQ	—
Quantinuum	Trapped Ion	50 LQ	100 LQ	100 LQ	“100s of LQ”	1000s of LQ
Infleqtion	Neutral Atoms	30 LQ	—	100 LQ	—	1000 LQ
Google	Superconducting	1 LQ	10 LQ	20 LQ	“Dozens of LQ”	100+ LQ
Xanadu	Photonic	—	—	—	500 LQ	500 LQ
IBM	Superconducting	120 PQ	—	—	200 LQ	—
Pasqal	Neutral Atoms	2 LQ	20 LQ	—	200 LQ	—
Rigetti	Superconducting	150 PQ	1000 PQ	—	—	—
D-Wave	Superconducting	—	—	—	—	10 LQ
Google	Neutral Atoms	—	—	—	—	—
Microsoft	Topological	—	—	—	—	—
Photonic	Photonic	—	—	—	—	—

Rumors about upcoming Executive Orders (EO) from Trump administration were published today.

The article referred to two EOs: One for furthering government investment in the industry including funding to develop a quantum computer for government research. The second EO is said to be focused on enhancing efforts to migrate to post-quantum cryptography (PQC).

There have been rumors about EOs for quantum in the past. Usually the EO does not occur on the schedule rumors put forth, so take these rumors with a grain of salt.

For the PQC angle, the assumption is that this EO would move up the US’ civilian migration deadline from 2035 to 2029 or 2030. This new date aligns with industry and academic experts. It is also much closer to my 2028 deadline. I don’t think there is new information that timelines are accelerating above the current rate. More likely, the government is formally establishing deadline.

As for the commercial aspects, we could see more investment and purchasing from government. Notably, IonQ was not part of the $2B investment the government made in nine quantum companies last month. IonQ has said that they are unable to issue shares during a merger event.

UPDATE: One EO sets PQC Migration to 2031 as the milestone. The other EO is a deeper scope around establshing a spec for a future quantum computer that government can buy. It also lays out new requirements for supply chain security. And, establishes intent to source quantum sensing products for the government.

Details from the White House here

AI generated content is everywhere these days. The Dead Internet Theory doesn’t seem like a conspiracy. I see it on Youtube, X, LinkedIn, Instagram, and so on. While AI does seem like a technology that potential to benefit society, generic AI content (aka Slop) seems like we are going backward as a society when we rely on regurgitated takes rather than authentic human expression.

I have been using AI assisted coding for about eighteen months. This site is developed and maintained with AI. This site is simple, and AI is good at getting the job eighty percent done. AI can’t do it all, it will hallucinate and make mistakes. Not long ago I discovered that the math to calculate the number of days until Q-Day was wrong, even though the correct formula was in the comments that AI left in the code. It wrote the comment, and then ignored it. Frustrating at times, for sure.

Using AI for developing websites is a really good idea. This site’s specification is basic, so the actual coding isn’t complex. Something that would take me a few days to get up and running can be done in a few hours. But, AI fails when it comes to designing.

IsitQday’s layout is familiar — nothing special or innovative. Familiarity is fitting here. But, AI generated websites all look a like. They have the same purplish or indigo tones. Subtle gradients, and tend to pick accent colors that glow against the primary colors. The typefaces are all the same too — Inter and Roboto dominate. I’ve made an effort to improve upon the AI’s design by reducing content that just adds noise and clutter, changing the color palette to focus on readability, and updating fonts for readability.

AI for research is also quite useful, but it’s not a full replacement for doing my own research. Exploring on my own is central to learning, and is key to the discovery process. The path of research is a linked set of information, showing connections, and relationships. Forming spatial connections between ideas, concepts, and publications helps me to understand and remember information. AI research is good, but taking shortcuts in learning produces gaps in knowledge. And, reliance on a research partner that is known to make things up is unwise. 
In my own consumption of AI created content I have found that I quickly lose interest when looking at AI generated images. The similarity in style is off-putting. It comes across as a bit careless, lazy. And I feel the same way about AI used for writing. AI winning writing competitions leaves me cold.

I read to hear from others, to learn, to be transported to another world of someone else’s imagination. When AI writes it feels half-hearted, half-baked, half-ass. Reading AI authored content leads me to conclude that the human who prompted the AI didn’t care enough to even try to share what they think. Disappointing a reader with half-ass effort does not win them over.

While I am not sure my words will win you over, I do believe we all benefit when humans are doing the research, the thinking, and attempt to convey their insights in their own words.

Q-Day is a colloquialism to represent a point in time when quantum computers are capable of cracking encryption. I propose that there’s another kind of Q-Day, the day when quantum computers are capable enough to solve problems for businesses that classical systems cannot do on their own. I will call this Commercial Q-Day.

At a point in time we will learn about a quantum computer playing a key role in solving a business problem. “Key” here means without quantum, classical could not solve it in a reasonable amount of time, cost, or other practicality. This doesn’t mean that quantum solved the problem without any classical compute. For the foreseeable future, most quantum compute work will be hybrid, including CPUs, GPUs, and QPUs.

Now, some folks familiar with this space will point to examples of enterprises using quantum to solve a problem. They will point to this or that press release or paper where there is a claim of quantum advantage, or a demonstration of quantum being applied to a business problem. But, this is not the Commercial Q-Day that I am thinking of. The scope should not be a one off, for that looks like a marketing project done for a marketing team. The problem should be an ongoing problem where quantum is used regularly or frequently.

The key point is that the enterprise uses quantum not just once, but regularly or frequently for this problem. And, the business has moved from being quantum curious to being a paying user that relies on quantum to run their operations.

If we look at the current projection of quantum capabilities in vendor roadmaps we can see that powerful quantum computers arrive in 2028. If you have read any of my other Notes you will know that I see ongoing use of AI by quantum companies (eg error correction) and the force of commercialization causing acceleration in roadmaps. Which is why I believe that Commercial Q-Day will arrive sometime in late 2027. That’s not a day. So, let’s pick a day.

Previously, for Encryption Q-Day, I picked June 10th. A midpoint in the year. But, I think Commercial Q-Day happens closer to 2028 than 2026. Thus, I am identifying December 3, 2027 as Commercial Q-Day.

As of this writing, on June 12, 2026, there are 539 days until Commercial Q-Day.

Note: I am focused on gate-based systems and exclude D-Wave from this analysis, at least until they have a meaningful superconducting product offering.

We estimate that Q-Day will come on June 10, 2028. That is 2 years from today.

Several protocols are at risk. Most concerning is the legacy RSA-1024 standard that is used in many older systems for authentication.

We are anchoring our target to available Logical Qubits in vendor roadmaps. As of this writing, IonQ has the most aggressive roadmap with 1600 logical qubits in 2028 and 8000 in 2029. 1600 logical qubits is not enough to crack RSA-1024. You are probably asking, why is 2028 the year in which Q-Day falls? Because we firmly believe that the acceleration of capability will continue through the next 2 years.

Roadmap

LQ = Logical Qubits. PQ = Physical Qubits.

Vendor	Technology	2026	2027	2028	2029	2030
IonQ	Trapped Ion	100 PQ	800 LQ	1600 LQ	8000 LQ	80000 LQ
PsiQuantum	Photonic	—	—	100 LQ	1000 LQ	—
Quantinuum	Trapped Ion	50 LQ	100 LQ	100 LQ	“100s of LQ”	1000s of LQ
Infleqtion	Neutral Atoms	30 LQ	—	100 LQ	—	1000 LQ
Google	Superconducting	1 LQ	10 LQ	20 LQ	“Dozens of LQ”	100+ LQ
Xanadu	Photonic	—	—	—	500 LQ	500 LQ
IBM	Superconducting	120 PQ	—	—	200 LQ	—
Pasqal	Neutral Atoms	2 LQ	20 LQ	—	200 LQ	—
QuEra	Neutral Atoms	100 LQ	100 LQ	—	—	—
Rigetti	Superconducting	150 PQ	1000 PQ	—	—	—
D-Wave	Superconducting	—	—	—	—	10 LQ
Google	Neutral Atoms	—	—	—	—	—
Microsoft	Topological	—	—	—	—	—
Photonic	Photonic	—	—	—	—	—

Innovation in error correction over the last five or six years has led to acceleration. Such innovation is in part due to the availability of functional NISQ systems — researchers have working systems to test and learn from, systems that did not exist in any accessible quantity prior to 2020. Additionally, IonQ and Oratomic researchers have publicly stated that AI has been an accelerant for their work in error correction.

For a detailed overview of 2026 advances in quantum cryptography for blockchain visit Nic Carter’s substack.

We assume that this acceleration will continue due to advances in software and hardware. AI will continue to improve. Currently, about every six months a new frontier model is released that is more powerful than the prior. Engineering at quantum computing companies continues to find ways to pull in their roadmap dates. The NISQ era build-out is largely about “building a quantum computer in order to learn how to build a quantum computer.” Now that NISQ is ending, we expect that leading firms will find ways to optimize their hardware that improve its stability and reduce the time to market.

In addition to technical innovations, changes to business process can also produce timeline acceleration. IonQ has said that their acquisition of Skywater Technologies will accelerate their design process. Their 2029 roadmap target of 8000 logical qubits would be pulled into 2028, if the merger closes. So, not necessarily an engineering issue as much as reducing the time to wait for design cycles at a third party, by making them first party. Magic.

In many parts of our modern world, two years can seem like a long time. What we are trying to emphasize is that there’s jaggedness in time, and two years may end up being 12, 14, or 18 months, and not twenty-four months. This means more important protocols like RSA-2048 could be at risk in … two years and not three.

Fortunately, standards bodies have defined and developed post-quantum-cryptographic (PQC) solutions which can be invoked today. And, many leading firms are already making the necessary changes. If you’re not, now is the time to act! Objects in mirror are closer than they appear.

Craig Gidney writes:

Almost exactly one year ago, I found a way to make quantum attacks on elliptic curve cryptosystems ten times cheaper. Specifically, I found a better way to perform elliptic curve point addition on a quantum computer. I wanted to publish these improved point addition circuits, to enable cryptographers to make informed decisions about when they’d need to transition away from quantum-vulnerable cryptosystems. I’ve done this several times over the past decade. However, this time, something new happened: I got pushback on publishing.

One of the challenges facing the industry is how to disclose vulnerabilities. Often some form of coordinated vulnerability disclosure is done where affected organizations are notified in secret about the vulnerability. But, a cryptographically relevant quantum computer (CRQC) that has the ability to crack foundational elements of the internet creates a kind of universal zero-day exploit that impacts many organizations and significant components and systems. It would seem irresponsible to not disclose this broadly.

On the other hand, the path leading up to Q-Day is filled with research, laying the steps to when a CRQC can crack encryption. Researchers revealing their technique means both good and bad actors have access to the recipe. No good-intentioned researcher wants to enable criminals or other bad actors.

In Gidney’s case, he chose to publish a Zero Knowledge Proof (ZKP). Essentially, this allowed Gidney et al. to share the validity of the proof but not the mechanics of the proof. But, this does not remove the interest or desires of other researchers.

Gidney:

Saying you have a solution, but that you won’t share it, is a great way to draw attention.

He calls this a kind of Streisand Effect.

It’s also a bit like the first runner to run a sub-four-minute mile. Once it’s done, suddenly it is possible for many others. Or, more recently, a sub-two-hour marathon.

Most likely, government entities involved in surreptitious decryption will likely not reveal when they have a CRQC and its relevant techniques and can formulate successful attacks. However, in the commercial and academic spheres I assume (hope?) we will have vocal revealers warning the public (like Gidney). The obvious benefit to revealing is to mitigate the harms of broken encryption (your bank, your email, corporate secrets, infrastructure, etc). Another benefit of revealing is that it leads to more researchers working on the problems, which typically leads to better solutions and improvements, even if there is some near-term pain.

Of course, all of this can be avoided by pursuing PQC solutions today.

I recently added some details about authentication in the Threat Briefing section, “The Authentication Avalanche.” Previously, I included Harvest Now, Decrypt Later, and Cryptocurrency Security. Both of those are substantive — loss of secrecy and privacy from HNDL attacks, and billions of dollars of assets are at risk in crypto. But, the Authentication issue seems to be more concerning.

When we use the internet we often sign in to services. That’s how most of us commonly think of the scope of authentication and security. But, systems on public and private networks often communicate with each other without any human intervention. They do that securely by using credentials. Those credentials are based on cryptography that is susceptible to quantum attacks. And, there are billions of credentials suscpeptible to quantum attacks.

These are systems which run the internet, run manufacturing, run healthcare, and so on. The scale is truly daunting.

There are discussions about this, but how much is being done about it? Our research shows that Cisco is well aware of this and making necessary changes. But, we have not found other players in industry to be responding similarly. This lagging response is very concerning, and I hope that there’s more going on behind the scenes than appears in the public domain. Godspeed.

Quantinuum is set to IPO on Thursday June 4, 2026 under ticker QNT.

Quantinuum is the NISQ era leader with its 48 logical qubits and industry lead 99.92% fidelity. Additionally, QNT has the heritage of industry scale and engineering excellence of its parent, Honeywell.

Their revenue and projections:

Year	Revenue
2025	$30.9M
2026	declining
2028	$266M
2029	$856M
2030	$2.5B

Note: 2028–2030 are projections. I don’t have a 2027 figure.

The company expects an inflection to occur in 2029, when they deliver their APOLLO system. Their prospectus teases a new LUMOS system in ~2030 with 1M physical qubits (no published logical qubit number, but should be in the thousands).

While QNT’s roadmap is below what IONQ has published (80,000 logical qubits in 2030), QNT has proven their approach out in recent years and deserve some premium for accomplishments and heritage. QNT is claiming the mantle of the first quantum technology industry IPO (not a SPAC). And, their float is quite small — about 10% of total will be made available for trading. They have a great story, a transformative technology, proven accomplishments, and great heritage. Expect fireworks at IPO.

Going forward, after IPO, one should expect that QNT will move based on story — milestone achievements/misses, breakthroughs/setbacks, and customer wins/losses.

As it relates to Q-Day, QNT will likely not deliver a machine that can crack RSA-1024 until APOLLO in 2029. RSA-2048 will likely not be cracked by QNT until LUMOS arrives sometime in 2030 or later.

All in all, the Quantinuum IPO represents a maturing of the quantum market with the introduction of a new pure-play that has solid history and heritage. The funds they receive will surely lead to M&A, and possibly the acceleration of its roadmap.

UPDATE: I’ve corrected IPO listing date to Thursday June 4, 2026