This simple magnetic trick could change quantum computing forever
Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional approaches that rely on rare spin-orbit interactions, this method uses magnetic interactions—common in many materials—to create robust topological excitations. Combined with a new computational tool for finding such materials, this breakthrough could pave the way for practical, disturbance-resistant quantum computers.
The entry of quantum computers into society is currently hindered by their sensitivity to disturbances in the environment. Researchers from Chalmers University of Technology in Sweden, and Aalto University and the University of Helsinki in Finland, now present a new type of exotic quantum material, and a method that uses magnetism to create stability. This breakthrough can make quantum computers significantly more resilient - paving the way for them to be robust enough to tackle quantum calculations in practice.
At the atomic scale, the laws of physics deviate from those in our ordinary large-scale world. There, particles adhere to the laws of quantum physics, which means they can exist in multiple states simultaneously and influence each other in ways that are not possible within classical physics. These peculiar but powerful phenomena hold the key to quantum computing and quantum computers, which have the potential to solve problems that no conventional supercomputer can handle today.
But before quantum calculations can benefit society in practice, physicists need to solve a major challenge. Qubits, the basic units of a quantum computer, are extremely delicate. The slightest change in temperature, magnetic field, or even microscopic vibrations causes the qubits to lose their quantum states - and thus also their ability to perform complex calculations reliably.
To solve the problem, researchers in recent years have begun exploring the possibility of creating materials that can provide better protection against these types of disturbances and noise in their fundamental structure - their topology. Quantum states that arise and are maintained through the structure of the material used in qubits are called topological excitations and are significantly more stable and resilient than others. However, the challenge remains to find materials that naturally support such robust quantum states.
Newly developed material protects against disturbances
Now, a research team from Chalmers University of Technology, Aalto University, and the University of Helsinki has developed a new quantum material for qubits that exhibits robust topological excitations. The breakthrough is an important step towards realising practical topological quantum computing by constructing stability directly into the material's design.
"This is a completely new type of exotic quantum material that can maintain its quantum properties when exposed to external disturbances. It can contribute to the development of quantum computers robust enough to tackle quantum calculations in practice," says Guangze Chen, postdoctoral researcher in applied quantum physics at Chalmers and lead author of the study published in Physical Review Letters.
'Exotic quantum materials' is an umbrella term for several novel classes of solids with extreme quantum properties. The search for such materials, with special resilient properties, has been a long-standing challenge.
Magnetism is the key in the new strategy
Traditionally, researchers have followed a well-established 'recipe' based on spin-orbit coupling, a quantum interaction that links the electron's spin to its movement orbit around the atomic nucleus to create topological excitations. However, this 'ingredient' is relatively rare, and the method can therefore only be used on a limited number of materials.
In the study, the research team presents a completely new method that uses magnetism - a much more common and accessible ingredient - to achieve the same effect. By harnessing magnetic interactions, the researchers were able to engineer the robust topological excitations required for topological quantum computing.
"The advantage of our method is that magnetism exists naturally in many materials. You can compare it to baking with everyday ingredients rather than using rare spices," explains Guangze Chen. "This means that we can now search for topological properties in a much broader spectrum of materials, including those that have previously been overlooked."
Paving the way for next-generation quantum computer platforms
To accelerate the discovery of new materials with useful topological properties, the research team has also developed a new computational tool. The tool can directly calculate how strongly a material exhibits topological behaviour.
"Our hope is that this approach can help guide the discovery of many more exotic materials," says Guangze Chen. "Ultimately, this can lead to next-generation quantum computer platforms, built on materials that are naturally resistant to the kind of disturbances that plague current systems."
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
researchVIETNAM: National AI Development Fund Planned for 2026-2027 - HKTDC Research
<a href="https://news.google.com/rss/articles/CBMiYkFVX3lxTE9XeFVXNlRJdnRTVzB4MVUtRlZENmg5TTZQQzBXTHNQaS1YaEFaQ1JuelE5T0pXZnhLSHdCZVNxVU5BaGZwaWpVa0JsRERhRmhpVEJDSmFJUUF6LVpvU3NvX2pB?oc=5" target="_blank">VIETNAM: National AI Development Fund Planned for 2026-2027</a> <font color="#6f6f6f">HKTDC Research</font>
Joint Statement of the United States and Israel on the Launch of a Strategic Partnership on Artificial Intelligence, Research, and Critical Technologies - U.S. Department of State (.gov)
<a href="https://news.google.com/rss/articles/CBMivAJBVV95cUxQa1V2STc5cnFGVTRzQkJZTmx3cGZvX3VWdFUwNFlzTEh2aHkwYXRJd2JuYjRKUUViSFpDTDJNekVPb3ZXbzhMNkplUE01YVI0WXdERk1KanJDdG9nNWF4aFoyOVhYVWJ5UF9udlVQZ005Tk1yNWViMGpuVW40VmQ3Q2pUQXFrYm1GdjdnUFZ5TmlTYnhzVTVCT2pPd3hXa3F0ZS1TbmZtemljcHEtandvUVBydjZqZ1ZuTzlhTTd0azNibEJuOE5tLThHMkpkdmQ0bkNWbjE1RWl6bG9qaXhJOC1lYm1DMnhRbmtUMGNJTThWWTdhNGVGa0hOd1I0bVAxYWpYbFBWbVVIb28yRlNaaG1SY3VBY3Q5ZHNOdXR2c3lMY3N6ZXZwVHhhRTNhNG1wSk5UY0hYNnlMclYt?oc=5" target="_blank">Joint Statement of the United States and Israel on the Launch of a Strategic Partnership on Artificial Intelligence, Research, and Critical Technologies</a> <font color="#6f6f6f">U.S. Department of State (.gov)</font>
Real-time speech-to-speech translation - research.google
<a href="https://news.google.com/rss/articles/CBMid0FVX3lxTFAxeFFhNVhOTjVXeEhXeGFHOXE3WENYeGFISjlpVGNueGtDS2ZZTEVsZHh6dkhLc191aFFYNEpMUUxraV9uTWF6YW1RcF9VTFlIZDBuQTlpbkhBRnJxU1FuTGY4aEtFc2FEaWMxekxUTnlzV3dFN1ow?oc=5" target="_blank">Real-time speech-to-speech translation</a> <font color="#6f6f6f">research.google</font>
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Testing MCP Servers: A Practical Guide for Developers
<p>You've built an MCP server. It works on your machine. But will it work when your colleague installs it? What about in production?</p> <p>MCP (Model Context Protocol) servers occupy a unique position in the development stack. They're not traditional REST APIs, and they're not simple CLI tools — they bridge AI models with external resources. This means testing them requires a fundamentally different approach than you might be used to.</p> <p>After building several MCP servers in production, I've learned that effective testing breaks down into three distinct layers: unit testing for individual functions, integration testing for client/server communication (the layer most developers skip), and end-to-end testing with real AI models.</p> <p>Let me walk you through each layer with practical e
The bottleneck for AI coding assistants isn't intelligence — it's navigation
<p>You ask Claude about a function. It gives you a confident, detailed explanation. You build on it for an hour. Then you find out it was wrong.</p> <p>Or: you change a function, tests pass, you ship. Three days later — four other places called that function, all broken. Claude never mentioned them.</p> <p>Same root cause: <strong>Claude doesn't have a way to navigate your codebase.</strong></p> <h2> The core idea </h2> <p><strong>Turn your entire repo into a graph. Use BFS + LSP to search and traverse it.</strong><br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>/generate-index → build the graph (deterministic script + AI refine) ↓ AI_INDEX.md → the graph itself (adjacency list — nodes are domains, edges are connections) ↓ /investigate-module → rea
Is Türkiye Ready for Generative AI? - Bain & Company
<a href="https://news.google.com/rss/articles/CBMigwFBVV95cUxNQXUzT2gwVDVra0RhMlJ6RVJoc0RxQW5oZUs1T1BXMm12eWVmcHEtdUpJYkxmczNrblVWellHb1dLcklXbldCSHpsZXR0SFBZenhZRElzX3VwVV9jN055cThaaHJXUUNNeGlnSlRCckxmS203VTR2eEdlVndZSWwtTzczVQ?oc=5" target="_blank">Is Türkiye Ready for Generative AI?</a> <font color="#6f6f6f">Bain & Company</font>
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!