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FROM THE EDITOR.
Quite a week in quantum — startups, scaleups and spinouts announcing financial jolts, Several Big Qs — the large public quantum companies — released their financial reports, and a bunch of research advances.
Now, there’s a feeling that the uptick in the pace of news just represents a run up to the summer months and the holiday vacation period. Or, you might want to consider it a tidying up before the holidays.
We’ve seen this — anecdotally, of course — in the past.
But there's another take. This might be the new reality. Quantum technology is going from the lab — where the academic calendar dominates — to the commercial world — where there’s more of a 24-7-365 pace.
We’ll know more for sure soon.
Also, just wanted to call your attention to an upcoming webinar. Haiqu will be revealing its Agentic Operating System for quantum R&D teams — a performance-improving tool — during a live webinar hosted by The Quantum Insider
Have a great weekend!

— Matt, Chief Content Officer at The Quantum Insider
The Noteworthy & Nuanced
— Alan Kanapin, Analyst at The Quantum Insider
A joint team from Cleveland Clinic and IBM demonstrated a hybrid quantum-classical workflow to model the electronic structure of the 303-atom Trp-cage protein using IBM’s Heron r2 processor. The approach combines wave function-based embedding to break the protein into manageable clusters with quantum sampling techniques to solve complex interactions. This quantum-centric supercomputing method overcomes limits of classical simulation and could scale to larger biomolecules, supporting drug discovery and advanced molecular research.
Atom Computing and Cisco have signed an agreement to explore distributed quantum computing by linking neutral-atom quantum systems through quantum networks. The collaboration will integrate Atom’s hardware with Cisco’s networking stack, including compilers and protocols, to tackle challenges such as interconnects, transduction, and distributed workload execution. The effort aims to enable scalable architectures by connecting multiple quantum processors into unified, networked systems.
QpiAI has developed a hardware-based quantum error correction decoder that significantly reduces latency in superconducting systems. Using a union-find algorithm on its 64-qubit Kaveri processor, the platform cuts correction time from tens of microseconds to about 1.5 microseconds. This enables real-time error correction within qubit coherence limits, a key requirement for scalable fault-tolerant quantum computing, and marks progress toward practical, high-performance quantum machines.
The Research Rundown
— Cierra Choucair, Journalist & Analyst at The Quantum Insider
Check out this week’s handpicked quantum research. These are studies headed for real-world impact: improving accuracy, reducing latency, using fewer resources, or solving problems that classical methods struggle with. These are early developments, but they hint at where quantum might earn its keep.
Researchers from Tecnológico de Monterrey and collaborators develop a hybrid quantum–classical machine learning model to forecast hourly black carbon levels in Monterrey, combining classical ensembles with quantum neural networks to capture complex environmental interactions.
Researchers from Aligarh Muslim University introduce QisNet, a quantum-inspired U-Net model for retinal vessel segmentation that encodes image features as qubit-like states to better capture fine, uncertain vascular structures.
Researchers from Macquarie Bank, Accenture, and the SMR Institute of Science and Technology develop a hybrid quantum–classical system that encodes ICU patient data into quantum states to enable earlier detection of sepsis and organ failure, improving classification performance and reducing false alarms. .
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Quantum Headlines
— Krista Elliott, Journalist at The Quantum Insider
🤑 Nord Quantique reportedly raised $30 million in a Fidelity-led financing that valued the Canadian quantum computing company at about $1.4 billion, according to The Globe and Mail. The financing makes Nord Quantique one of several Canadian-founded quantum companies to achieve a billion-dollar valuation alongside D-Wave Quantum, Xanadu and Photonic.
💰 In another major win for the quantum industry in Canada, Photonic Inc. announced that it closed an investment round exceeding $200 million at a $2 billion post-money valuation. The financing round was led by Planet First Partners and included new backing from organizations such as Business Development Bank of Canada, Export Development Canada, Bell Ventures, and returning investors including Microsoft and Mubadala Capital.
🏫 Purdue University in Indiana launched a comprehensive quantum degrees program spanning undergraduate, graduate, and professional education. The initiative includes certificates, minors, master’s programs, PhD concentrations, and online quantum education focused on computing, sensing, and communications.
🧑🤝🧑 French and German quantum organizations signed a declaration of intent to strengthen cross-border cooperation and accelerate the development of a competitive European quantum ecosystem. The agreement focuses on industrial quantum use cases, scalable adoption pathways, coordination between industry and policymakers, and promoting commercial examples of quantum deployment.
Other News:
SkyWater Technology stockholders approved the company’s previously announced merger agreement with IonQ.
Speaking of IonQ, they’ve opened a new quantum computing R&D and semiconductor testing facility in Boulder, Colorado.
Honeywell announced that Quantinuum has publicly filed an S-1 registration statement with the U.S. Securities and Exchange Commission for a proposed initial public offering and plans to list on the Nasdaq under the ticker symbol “QNT.”
New York University and IBM launched a postdoctoral quantum research program focused on advancing quantum algorithms and applications across fields.
NEW! GLOBAL QUANTUM + AI CHALLENGE
The Global Quantum + AI Challenge is an international initiative designed to move quantum research closer to industrial use. In partnership with enterprises, technology providers, startups, and research teams, the program focuses on real-world problems where quantum computing may eventually create practical value, with AI and high-performance computing serving as key tools for testing, benchmarking, and deployment.
This week’s featured challenge comes from Airbus, which is seeking new approaches to predictive aerodynamic modeling. Accurately forecasting aerodynamic flows requires solving partial differential equations using state-of-the-art HPC, but current methods still face scaling limits and continued reliance on expensive wind tunnel testing under demanding acceleration and Mach conditions. Airbus is looking for more efficient PDE solvers that could help future product solutions meet strict quality, performance, and environmental requirements.
Teams working in quantum algorithms, hybrid quantum-classical workflows, scientific machine learning, computational fluid dynamics, or quantum-inspired optimization are encouraged to take part. Phase I concept proposals are open until 15 September 2026.
Sign up now to participate in the Global Quantum + AI Challenge and help turn quantum research into industrial outcomes.
EDITOR’S SPOTLIGHT.
➡️ A new theoretical study proposes a three-dimensional quantum memory system that could store quantum information for exponentially long periods at finite temperatures without continuous active error correction — something many physicists previously believed was impossible.
➡️ The researchers argue the system naturally resists thermal noise through the underlying physics of the material itself, potentially reducing the need for the massive qubit overheads and energy-intensive control systems used in current quantum error correction approaches.
➡️ Prior theoretical work suggested true self-correcting quantum memories were only possible in four spatial dimensions, but the new study proposes a way to achieve similar behavior in ordinary three-dimensional space.
➡️ The proposed architecture deliberately breaks geometric regularity and introduces controlled randomness into the system, which the researchers say helps prevent errors from spreading through low-energy pathways that appear in more ordered structures.
➡️ According to the study, the system’s memory lifetime scales exponentially with system size, meaning larger systems could become dramatically more stable rather than only incrementally more resistant to thermal noise.
➡️ The work remains theoretical, mathematically dense, and unreviewed through peer review, while major questions involving manufacturability, initialization, and fully passive fault-tolerant quantum computing remain unresolved.
Commentary:
Never say never in science. Or, at least be prepared to be surprised every once and a while.
While the following study remains theoretical, mathematically dense (at least for me), and far from the commercialization phase, it also highlights how many of the field’s largest engineering barriers were once viewed as fundamentally impossible problems — and, now, not so much. Potentially.
A team of researchers from California Institute of Technology, University of California San Diego and Hon Hai Research Institute now reports a possible path toward a three-dimensional self-correcting quantum memory — something physicists have pursued for more than two decades with limited success.
Many scientists consider this significant because quantum computers today are extraordinarily fragile systems. Quantum information degrades quickly when exposed to heat, radiation, vibration, or interactions with the surrounding environment. To compensate, current fault-tolerant quantum computing proposals rely on active error correction systems that constantly monitor, detect, and repair errors in real time.
That process is enormously resource intensive because, depending on the architecture, preserving a single stable logical qubit may eventually require thousands or even millions of physical qubits working together. Entire layers of cryogenic systems, control electronics, decoding software and energy-consuming infrastructure are effectively devoted to preventing quantum information from collapsing.
The new work attempts to approach the problem differently.
Rather than continuously repairing fragile quantum states from the outside, the researchers propose a system whose internal physical structure naturally resists thermal noise on its own. In simple terms, the material itself would help protect quantum information passively rather than requiring constant intervention.
That distinction matters because passive stability has long been viewed as one of the potential — and admittedly the term is overused — “holy grails” of quantum information science.
Most evidence historically suggested true self-correcting quantum memories were only possible in four spatial dimensions — not the ordinary three-dimensional world where real hardware must operate. That constraint became one of the field’s most persistent theoretical roadblocks.
The new study argues that barrier may not be absolute after all.
Please note, the researchers are not claiming they have built such a system experimentally. Nor are they claiming quantum computers are suddenly close to effortless stability.
What they are proposing is a new mathematical and physical framework that may allow quantum information to survive for exponentially long times as systems grow larger.
The phrase “exponentially long” is important in this context. Many previous three-dimensional quantum memory proposals achieved only logarithmic or polynomial protection, meaning stability improved slowly even as systems became significantly larger. The new proposal instead suggests stability could improve dramatically with scale. In principle, larger systems would become disproportionately more robust against thermal noise rather than only marginally better.
One of the more interesting aspects of the work is that the researchers appear to partially solve the problem by abandoning strict geometric order.
For years, many quantum error-correcting codes relied on highly regular repeating structures. The new study instead deliberately introduces irregularity and randomness into the geometry of the system.
Counterintuitively, that disorder may help block the pathways through which errors normally spread.
In some ways, the idea resembles broader themes that appear repeatedly throughout science and engineering: systems that are perfectly ordered are not always the most resilient. Biological evolution, internet routing systems, financial networks, and even modern cybersecurity architectures often derive robustness from forms of distributed irregularity rather than rigid uniformity.
Quantum computing may ultimately be discovering a similar principle at the physical level.
To be clear, this paper alone does not point that we have definitely arrived at a turning point.
The work remains unreviewed, highly abstract, and mathematically difficult even for specialists. The researchers themselves acknowledge major unresolved questions involving physical implementation, initialization, robustness, and fully passive fault-tolerant computation.
There is also a long history in quantum information science of elegant theoretical proposals proving extraordinarily difficult — or impossible — to realize experimentally.
To be transparent, I’m also making a point about our expectations on how science moves. We want it to move along a nice linear slope with no unexpected surprises. Unfortunately — or fortunately — it rarely does. Some “impossible” obstacles to fault-tolerant quantum computing may be suddenly swept away. Some once considered insignificant challenges may suddenly turn out to be more difficult.
Unknown unknowns abound.
And that is exactly why we have science.— Matt
DATA SPOTLIGHT.

PacketLight Networks and NEC demonstrated quantum key distribution over a 400G dense wavelength division multiplexing (DWDM) network using a dual-fiber setup. They integrated NEC’s QKD system with PacketLight’s PL-4000M 600G Muxponder, achieving 100% data throughput and low latency, verified via a 100GbE tester. The QKD ran over a dedicated parallel fiber, maintaining quantum signal integrity. The result: a cost-effective, scalable quantum-safe model with zero performance tradeoffs on existing high-capacity infrastructure.
EVENTS.
April 27-30 — The Quantum Matter International Conference & Expo (QUANTUMatter2026) will take place at the Barceló Sants Hotel in Barcelona.
May 18-19 – Q-Expo 2026 will take place in Bilbao, Spain bringing together global leaders to explore quantum technologies, AI, and future digital infrastructure.
May 18 -- Building Fault-Tolerant Quantum Algorithms with PsiQuantum will take place at Northwestern University in Evanston, Illinois.
May 25 -- QUANTUM NOW | DEFSEC will take place at the Canadian War Museum in Ottawa, convening Canada's quantum sector, defence and security communities to operationalize quantum technologies for mission-ready deployment.
May 27 -- Quantum Industry Day 2026 will take place at Scandic Falkoner in Frederiksberg, Denmark.
May 27 -- CFA Institute Webinar: Quantum Reality for Finance will take place virtually.
May 31 – Cisco Live 2026 will take place at Mandalay Bay Convention Center in Las Vegas, Nevada.
June 2-3 – Microsoft Build 2026 will take place in San Francisco and online.
June 4-5 -- Q2B Tokyo 2026 will be held exclusively in-person and presented in Japanese and English, with real-time interpretation.
June 8 -- WISER Quantum and AI Program 2026 begins, focusing on optimization at the intersection of quantum and AI.
June 8-12 -- London Tech Week will take place at Olympia London.
June 16 -- France Quantum -- the premier event showcasing the French Quantum ecosystem to the world.
June 22-24 -- IQT Nordics: Oslo, Norway
June 25-26 -- Quantum.Tech World -- Empowering Quantum, AI & HPC at Enterprise -- Scale, co-located with Quantum.Tech World will be held at Encore Boston Harbor in Boston, United States.
July 1-3 – The 2026 IEEE International Conference on Quantum Control, Computing, and Learning (IEEE qCCL 2026) will take place from Wednesday to Friday, July 1-3, 2026
September 15 –Quantum Leap Career Nexus 2026 will take place at the University of Maryland.
FEATURED RESOURCE.
The Quantum Insider
Editor: Matt Swayne
Contributors: Cierra Choucair, Alan Kanapin, Krista Elliott




