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Room-Temperature Quantum Computing? A Superlattice Breakthrough Could Be Poised to Help Supercharge Information Science

5 June 2026 at 16:34


A novel phase of matter has been achieved by a team of American researchers, finally realizing a theoretical quantum prediction using nanoscale building blocks, a breakthrough that could pave the way for room-temperature quantum computing.

Researchers at Brown University and the University of Michigan College of Engineering revealed how they briefly stabilized the novel state of matter in a nanoparticle superlattice in a recent paper published in the journal Science. They say their work provides a new method for engineering classes of materials with custom-shaped nanoparticles, which could be applied to quantum computers and other quantum applications.

Quantum Blocks

“Our work is a little bit like kids playing with LEGO blocks,” said co-author Ou Chen, an associate professor of chemistry at Brown. “We synthesize unique nanoscale building blocks and stack them into interesting structures. In this case, we were able to stabilize these theorized transitional structures and demonstrate important quantum optical properties.”

Most metals form in one of two primary groups of crystal structures. The first is face-centered cubic (FCC), the tightest packing arrangement for spherical particles, typically forming a cube with a single particle at each corner and at the center of each face. The other type is body-centered cubic (BCC), a more loosely packed structure in which single particles are still present at the corners, but instead of each face being centered on a particle, one sits at the center of the entire arrangement.

For the most part, atoms form one of these structures as they arrange into a metal, yet at high temperatures, some metals can switch from one structure to another. When it reaches 912° Celsius, Iron will transition from BCC to FCC. One explanation proposed for the transition is the Nishiyama-Wassermann pathway, which suggests that, due to the lower symmetry of the transition phases between FCC and BCC, these phases are fleeting.

Testing the In-Between States

The American team behind the recent research decided to test this idea, fabricating one of those low symmetries in between phases with silver nanoparticles 

“Materials scientists have cared about how to control the amount of FCC and BCC in their metals for a long time, but the transitions between these phases have been hard to study because they are so unstable,” said co-author Tim Moore, an assistant research scientist at the University of Michigan. “Being able to observe these structures is a fundamental breakthrough in materials science, and it gives us greater control over nanomaterial engineering.”

At the heart of the team’s work was the truncated octahedron, or “mecon,” a 14-sided polyhedron formed by cutting off the vertices of a diamond, producing an intermediate shape between a cube and sphere.

As the team synthesized silver nanoparticles, they varied the heat level during production, resulting in a spectrum of shapes ranging from cubic to spherical, which were coated with long, sticky molecules that bound the particles. They found that the sticky molecules were required for the particles to assemble themselves into the intermediate shapes predicted by the Nishiyama-Wassermann pathway.

Near Quantum Behavior 

Once the particles self-assembled into variously shaped nanoparticle superlattices, the team tested their behavior with computer simulations and physical observations.

The superlattices show evidence of a process known as deep-strong light-matter coupling, in which silver electrons vibrate in unison with light waves, becoming so hybridized they could no longer be treated independently. The similarity of this state to quantum entanglement leaves the team hopeful that their superlattice can be applied to quantum work in the future. 

Crucially, this action occurs at room temperature, whereas in previous instances it occurred only at very cold temperatures. This means the work could be useful for developing quantum technologies, which have been limited by the extreme cold required.

“One of the major challenges in quantum computing is maintaining coherent quantum states without requiring extremely low temperatures,” Chen told The Debrief in an email. “Our work suggests that carefully engineered nanoparticle superlattices may provide a scalable materials platform where strong and coherent light–matter interactions can persist at room temperature.”

Quantum Applications

“In the long term, such systems could potentially be used to create or manipulate quantum states for applications in quantum information science, including quantum communication, sensing, or photonic quantum technologies,” Chen said. “However, it is important to emphasize that this research is still at the fundamental physics and materials discovery stage. We are not yet building a room-temperature quantum computer, but rather exploring new material platforms that may help enable future quantum technologies.”

As research continues, the team is focused on more precisely controlling the superlattices’ quantum optical properties.

“Specifically, we are interested in: Engineering nanoparticle architectures that produce even stronger and more controllable light–matter coupling; Exploring how structural order, particle shape, and lattice symmetry influence quantum optical behavior,” Chen explained, “and Integrating these materials with photonic and optoelectronic platforms for potential quantum-device applications.

“More broadly,” Chen concluded, “we see this work as opening a new direction where nanoscale self-assembly can be used to engineer emergent quantum optical properties that do not exist in the individual nanoparticles alone.”

The paper, “Stabilizing In-Transition Phases of Superlattices Through Shape Control of Silver Nanocrystals,” appeared in Science on May 28, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial?

4 June 2026 at 18:00
The Majorana 2 quantum processor is built from topological qubits, and its creators claim it can sustain quantum coherence for an average of 20 seconds — orders of magnitude longer than the milliseconds that conventional chips last.

‘Happiness is not just about GDP’: ambitious plan or utopia?

4 June 2026 at 07:28

Some will question its credibility – but the alternative future to the one imagined in the Global Justice Report is far more bleak

In our increasingly dystopian world, who wouldn’t want to at least be open to a utopian antidote? The Global Justice Report, published on Thursday, outlines how to build a prosperous, equitable world within safe planetary boundaries. It’s a push from the modern eco-socialist left in a global battle for ideas that will shape the future.

Based on past social achievements and future energy transformation, it indicates that the overwhelming majority of people on the planet could, by the end of the century, work less and earn more – while keeping temperatures down and avoiding much of the current destruction of nature. It is an ambitious, comprehensive and upbeat plan, and a stronger argument around which to build a political campaign than abstract goals of net zero or decarbonisation.

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© Photograph: Emmanuel Croset/AFP/Getty Images

© Photograph: Emmanuel Croset/AFP/Getty Images

© Photograph: Emmanuel Croset/AFP/Getty Images

Microsoft, Atom Computing update their quantum computing progress

3 June 2026 at 23:09

With dozens of companies, from small startups to tech giants, pursuing quantum computing, there's a steady flow of results as they try to find a path to utility. We typically focus on new technologies and major landmarks, which can obscure the fact that any big success will inevitably have been built on a lot of incremental progress.

The past few weeks have seen two companies release progress reports on how they're trying to get the technologies closer to general use. None of these represents a major breakthrough, but all are absolutely necessary for the technology to advance. The idea here is to convey the hard work required to move us closer to something useful.

Microsoft does material science

Microsoft is one of the few companies working on topological qubits, based on the distinct physics that occurs when particles are confined. Microsoft's system relies on a thin superconducting wire placed on top of a semiconductor. In superconductors, groups of two electrons form Cooper pairs. But if the wire contains an odd number of conducting electrons—meaning there's a single unpaired electron—it will end up delocalized to both ends of the wire. (Because quantum mechanics is weird.)

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EU sets out plans to reduce reliance on US cloud providers

3 June 2026 at 16:50

The European Union has now published a set of measures aimed at boosting Europe’s tech industry to help reduce reliance on US and Chinese suppliers for AI, cloud, and semiconductors. The proposals include rules to restrict the use of US hyperscalers for certain public sector procurement purposes, but stop short of banning them outright.

“Technological sovereignty does not mean protectionism. Europe remains grounded in openness, partnership, and fair competition,” Henna Virkkunen, executive vice president for Tech Sovereignty, Security and Democracy, said in a statement Wednesday. “At the same time, Europe wants to be in the position to make its own choices, avoiding dependence on single dominant suppliers, especially from non-like-minded countries.”

The European Technological Sovereignty Package — released after several delays — includes two legislative proposals: the Cloud and AI Development Act and Chips Act (CAIDA) 2.0 and the Open Source Strategy and Strategic Roadmap for Digitalization and AI in Energy.

CAIDA aims to triple data center capacity in the next five to seven years by easing restrictions for deployments across the EU. It also includes rules that, if enacted, would require EU public bodies to meet certain sovereignty criteria for cloud service procurement related to certain sensitive workloads.

Amid ongoing trans-Atlantic tensions and a long-time deep reliance on US tech providers, European organizations have become increasingly wary of a “kill switch” that would cut off access to digital services. There are also concerns that US hyperscalers could be compelled to share data with US government under the CLOUD Act and Foreign Intelligence Services Act (FISA), even when data centers are located in Europe.

The CAIDA proposals include four levels of criteria for suppliers; the most basic includes data center infrastructure located and operated in the region – something  many US cloud suppliers already provide – with stricter rules around supplier ownership, full control over the software stack, and more stringent cybersecurity certification.

The majority of existing EU public sector workloads (70%) fall under the first level, with 20% at level 2, and 9% at level 3. Only a small proportion (1%) of the most sensitive workloads would require level 4.

Other proposals include the Chips Act 2.0, a follow-up to the 2023 legislation that sought to improve semiconductor production capabilities; the updated version now aims to boost research and spur demand for domestically produced processors. 

The legislative proposals must be negotiated by the European Parliament and Council of the European Union before adoption.

Enterprise Spotlight: Rethinking cloud strategy in the age of AI

3 June 2026 at 07:00

Cloud computing has reached a crossroads. The high cost and data sensitivity of AI workloads are raising the appeal of private clouds, even as neoclouds and sovereign clouds shake up the cloud provider landscape. New cyberthreats, shifting compute requirements, and management complexity are adding to cloud complications.

Download the June 2026 issue of the Enterprise Spotlight from the editors of CIO, Computerworld, CSO, InfoWorld, and Network World, and learn how to navigate the latest cloud strategy developments.

Feds failing in bid to take a supercomputer from a climate research center

2 June 2026 at 20:02

In December, the Trump administration abruptly announced it would shut down the National Center for Atmospheric Research (NCAR), a Boulder, Colorado-based facility that helps researchers perform studies of weather, climate, atmospheric chemistry, and more. The news came as a shock, given that the government had never identified serious deficiencies in the management of NCAR and its associated supercomputing center in Wyoming.

Nevertheless, the government ordered the University Consortium for Atmospheric Research (UCAR), which manages NCAR on behalf of the National Science Foundation, to help it prepare to transfer the Wyoming facility to a different operator. UCAR sued the government and, on Monday, won a preliminary injunction that places the transfer of the facility on hold.

Is that your final decision?

NCAR is what is termed a "Federally-Funded Research and Development Center" meant to support researchers in the academic community. Rather than having its own research agenda, it provides facilities, equipment, and expertise to support projects that are too large or complex for researchers to pursue on their own. NCAR has been around since the early 1960s and has become a critical resource for the global atmospheric science community.

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IBM unveils tool to track sovereignty risks for cloud workloads

1 June 2026 at 12:55

IBM has launched a tool designed to help customers assess cloud-sovereignty risks and meet regulatory compliance requirements. 

The Sovereignty Risk Profile launch comes as digital sovereignty becomes a higher priority for organizations concerned about where data is stored and processed. According to an IBM survey, 93% of executives believe sovereignty needs to be part of their business strategy.  

Via the new tool, customers can set up policies related to regulatory and business requirements — such as where data resides and how it’s protected, for instance. These policies can be applied to specific cloud workloads, regions, or zones in the Sovereignty Risk Profile tool, allowing users to track sovereignty requirements “in real time,” IBM Cloud product manager Janet Van said in a blog post, with “visibility into configurations, encryption posture, and environmental controls.” 

It’s then possible to assess compliance and decide what workloads meet sovereignty requirements. 

Tracking the factors that contribute to sovereignty is a challenge for many organizations, said Holger Mueller, vice president and principal analyst at Constellation Research. “It is very difficult, as you don’t know about the details of the stacks; sometimes, even the location of data is not fully transparent,” he said.

The Sovereignty Risk Profile “addresses many of the compliance-related requirements associated with data residency and encryption, while also tackling sovereignty from a resilience and concentration-risk perspective,” said Dario Maisto, senior analyst at Forrester.

However, the monitoring tool can only do so much to address digital sovereignty concerns, he said. While it can help organizations identify and report on potential issues, it “does not help [make] clients more or less sovereign, per se: it has only the potential to tell that a sovereignty problem is there.”

Broader questions around digital sovereignty remain difficult to address, he said, as there’s no universally accepted definition of the concept and limited legislation to establish clear requirements. 

Mueller described a spectrum of sovereignty issues that depend on factors such as whether data is stored, processed, and backed up in a customer’s own country, as well as whether staff that operate the data are domestic nationals. “Then there is the sovereignty of the software supply chain — but here everybody is dependent,” he said.

To further complicate matters, while several US hyperscalers sell sovereign-branded cloud services to European customers — with local staff and infrastructure —  concerns remain about the potential for extra-jurisdictional access to data, due to the US CLOUD Act and the US Foreign Intelligence Surveillance Act (FISA).

The Sovereignty Risk Profile is available within IBM’s Security and Compliance Center Workload Protection. It’s the latest in a range of IBM Cloud products aimed at addressing customers’ sovereignty concerns, including the recently launched IBM Sovereign Core software platform. 

Meta considers becoming a hyperscaler

29 May 2026 at 17:02

Meta has raised the possibility that it could be joining the likes of Amazon, Microsoft and Google in offering cloud services at some point in the future — although potential customers shouldn’t be adding the company to their suppliers list just yet.

When asked about plans for offering such services at the company’s annual shareholders meeting,  Meta CEO Mark Zuckerberg said there was a possibility of the company competing with the major hyperscalers. “It’s definitely on the table.”

He explained that different companies were approaching Meta asking for the company to offer an API service or to buy compute services at a premium price. “We haven’t done it yet, because we think we have a use for the compute, but when we feel we have overbuilt, then that is an option that we have.”

Meta has been active in developing its data centers over the past few years, so there will be a possibility of some excess capacity. It is also developing its own AI chips.

For the moment, though, the company may well need all the capacity it can build: Zuckerberg said that the launch of Muse Spark, a new AI model from Meta Superintelligence Lab, had resulted in large increases in Meta’s AI usage.

This article first appeared on Network World.

Democratizing AI adoption with Tether’s Bitnet LLM fine-tuning framework

28 May 2026 at 15:21

“The future of AI should be accessible, available, and open to people and builders everywhere, and it should not require an absurd amount of resources only available to a handful of cloud providers,” Paolo Ardoino, CEO, Tether.

About 700 million people use generative AIs like Gemini and ChatGPT weekly, but adoption is far from uniform. McKinsey’s 2025 State of AI survey found that nearly half of respondents from companies with more than $5 billion in revenue have reached the AI scaling phase, compared with just 29 percent of those from companies with less than $100 million in revenue, a gap that only widens further down the chain, locking out smaller businesses, developers, and everyday users.

Retail and small businesses are limited to basic AI utilities that their facilities can power, such as text-based inference and multimedia generation, using base models. That is billions of end users, and developers locked out of full utilization and development of intelligent software due to high infrastructure demands.

Tether’s edge-first LoRA fine-tuning framework for Microsoft’s Bitnet LLM is an important step towards developing an infrastructure system that supports billions of AI agents and intelligent machines. By reducing the computational overhead of machine learning and enabling consumer-grade devices to perform advanced operations, Tether’s edge-first approach ensures greater leverage for the larger population.

Imagine a 13-billion-parameter model being fine-tuned on everyday handheld devices like Samsung S25 and iPhone 16, as well as on regular personal computers. The breakthrough combines resource-efficiency and platform-agnostic techniques to develop a fine-tuning framework for the ternary-quantized LLM.

Behind Tether’s Bitnet fine-tuning framework

Bitnet LLM was born out of the vision of an intelligent AI model that doesn’t consume outrageous computing resources even at full precision. Earlier attempts at resource-efficient AI relied on trade-offs, such as running small-parameter models at higher precision or larger-parameter models at lower precision, but neither approach fully solved the problem.

Bitnet takes a more fundamental approach. The result is a model that achieves linear efficiency while consuming only a fraction of the computing resources traditionally required.

The challenge, however, is that contemporary GPUs are optimized for the very floating-point operations Bitnet eliminates, creating a hardware compatibility gap. Compounding this, Bitnet was originally confined to its own Bitnet.cpp inference engine, limiting its broader utility. Tether’s breakthrough addresses both constraints at once by integrating a Vulkan and Metal GPU backend that unlocks true cross-platform capabilities for BitNet inference and LoRA fine-tuning on heterogeneous consumer GPUs, including mobile GPUs. Bitnet can now run on more mature, widely supported inference engines without sacrificing its efficiency advantages.

Vulkan’s cross-platform nature is key here. Unlike CUDA, which ties developers to NVIDIA hardware, Vulkan runs across a broad range of GPUs and operating systems, opening Bitnet to genuinely multi-platform deployment. Tether’s Bitnet fine-tuning framework implements a dynamic tiling technique to mitigate limitations in Vulkan driver buffer allocation on mobile GPUs.

The dynamic tiling algorithm technique was first applied in the fine-tuning framework for QVAC Fabric LLM, the AI model that powers Tether’s QVAC Workbench application.

This implementation demonstrates the efficiency of this approach: fine-tuning a 13-billion-parameter model across a range of consumer devices with varying GPU configurations.

The Bitnet LLM Fine-tuning framework is Tether’s latest achievement and part of a broader expansion into open-source AI and communication technologies that challenge current, slow, fragile, and controlled systems. These developments are open-sourced and packaged as modules in the QVAC SDK for easy deployment and to help developers build edge-first AI applications without needing anyone’s permission.

Tether envisions superintelligence as a foundational element possessed by its owner and is enforcing this through:

Local-first AI

Synonymous with decentralized AI, “Local-first” AI aims to create sovereign AI solutions that do not rely on centralized infrastructure, such as data centers, to operate. They are considered cost-effective, relatively more sustainable, and unarguably more private than centralized AI. Tether is building AI applications that rely entirely on the device’s resources. These applications store data in device memory and use its processors for advanced operations, such as fine-tuning and inference.

P2P computing network for AI inference

Tether’s AI applications are built on the Pear runtime. Pear is a tooling platform for fully P2P applications that can operate without servers. Pear leverages the Holepunch tech stack. Holepunch is purpose-built for stable, direct communication between devices. Pear enables delegated inference for AI applications such as QVAC Workbench. Delegated inference enables a unified, dynamic workstation architecture where compute tasks are fluidly distributed between mobile and desktop environments, allowing either device to offload high-intensity processing to the most capable system. That is, you can start a task on your mobile device and delegate it to your desktop or laptop for completion.

AI for everyone

The only way to scale intelligence to the needs of a ten-billion-strong society is to push it to the edge. This, in turn, depends on the progress made by experiments aimed at cost-effectively localizing AI computation.

Billions of AI agents and countless AI applications deployed by developers in every region of the world, running effectively on user-owned resources, is the only way we can democratize superintelligence and avoid creating another ‘luxury’ cutting-edge technology controlled by unicorns and fully accessible only to elites.

Tether is pioneering limitless superintelligence for an ever-growing society and applications. Follow the journey to truly local and edge-first AI solutions

‘Hidden datacentre tax’ costing Irish households millions, report says

Datacentres used 22% of country’s electricity last year, pushing up household bills, study suggests

Energy demand by datacentres in Ireland has added hundreds of euros to household electricity bills in a pattern that could be replicated across Europe, according to a report.

Ireland’s growing number of datacentres last year used 22% of the country’s electricity, more than all urban homes combined, according to the Central Statistics Office. The equivalent figure in the US and UK is 6%.

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© Photograph: Sergio Azenha/Alamy

© Photograph: Sergio Azenha/Alamy

© Photograph: Sergio Azenha/Alamy

US's big bet on quantum computing may not be entirely legal

25 May 2026 at 13:00

Last week, the US government announced $2 billion in investments in quantum computing companies, allocating $100 million each to a range of startups in exchange for equity in the companies. Those could be make-or-break investments for many companies that are likely years away from a product that could see widespread use. But a member of the US Congress is now arguing that those deals are illegal, as Congress did not allocate the money for this purpose—instead, it was meant to support public research in semiconductors.

But the biggest chunk of money would go to a company that likely wouldn't exist if it weren't for the government's backing. Anderon will be set up with a billion dollars each from IBM and the government and will inherit personnel and IP from IBM. It will serve as a foundry for fabricating quantum processing units and will contract its services out to IBM and any other company that wants access to cutting-edge hardware.

Is any of this legal?

Zoe Lofgren (D–Calif.), the ranking member of the House Science, Space, and Technology Committee, made it clear that she is not happy with how the government is using its money to support this technology.

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US government takes $2 billion equity stake in nine quantum computing firms

The US government will take equity stakes worth a total of $2 billion in a slew of quantum computing companies, including a startup backed by a firm with links to the Trump family and one taken public by a Pentagon official.

The announcement by the commerce department that it had signed letters of intent with nine companies—including GlobalFoundries and IBM—sent shares in quantum specialists soaring on Thursday.

Both IBM, which is set to get $1 billion, and GlobalFoundries, which will receive $375 million, were up more than 6 percent in pre-market trading. D-Wave Quantum, an awardee that was taken public in 2022 by Emil Michael—now a top Pentagon official—was up more than 20 percent.

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US government takes $2 billion equity stake in nine quantum computing firms

The US government will take equity stakes worth a total of $2 billion in a slew of quantum computing companies, including a startup backed by a firm with links to the Trump family and one taken public by a Pentagon official.

The announcement by the commerce department that it had signed letters of intent with nine companies—including GlobalFoundries and IBM—sent shares in quantum specialists soaring on Thursday.

Both IBM, which is set to get $1 billion, and GlobalFoundries, which will receive $375 million, were up more than 6 percent in pre-market trading. D-Wave Quantum, an awardee that was taken public in 2022 by Emil Michael—now a top Pentagon official—was up more than 20 percent.

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