
Key Takeaways
- Microsoft introduced Majorana 1, a quantum chip that uses topological qubits to improve stability and could enable more scalable quantum systems with less error correction
- We spoke with digital experts, including Clyde Williamson (Protegrity) and Roger Williams (Kinsta), who remain cautious, emphasizing that more work is needed
Microsoft introduced the Majorana 1, a quantum chip that leverages topological core architecture to better stabilize and scale quantum bits (qubits).
The announcement was detailed in the official blog post on February 19 by Chetan Nayak, Technical Fellow and Corporate Vice President of Quantum Hardware at Microsoft. Throughout the post, Nayak emphasized how Majorana 1 can focus on quantum error correction (QEC), which is a common challenge in quantum computing.
“Quantum computers promise to transform science and society—but only after they achieve the scale that once seemed distant and elusive, and their reliability is ensured by quantum error correction. Today, we’re announcing rapid advancements on the path to useful quantum computing,” Nayak wrote.
Microsoft is one of the few players in the quantum computing race, joining the likes of other leaders, including IBM, Google, and Intel. But it may be Microsoft’s approach to qubits that could differentiate it from its fellow big-name competitors.
Majorana 1 Uses Topological Qubits
Classic computer bits process information sequentially, either as 0 or 1, performing calculations step-by-step. Generative AI chatbots operate this way. In contrast, qubits leverage entanglement to perform multiple calculations simultaneously.
This difference is monumental, but Microsoft knows it hasn’t quite knocked down the proverbial qubit wall yet: If Majorana 1 and future iterations successfully integrate more qubits without destabilization, there’s potential to solve problems at rates exponentially faster than today’s fastest supercomputers.
Here’s why: Entangled qubits are highly sensitive to noise and can collapse from minor disturbances like temperature changes, necessitating constant real-time error correction, which isn’t a sustainable long-term solution.

But Majorana 1 employs topological qubits, which are designed to be more stable and less prone to errors compared to traditional qubits. Topological quantum computing leverages the properties of quantum states in a way that is less sensitive to external disturbances.
What’s the Bigger Picture?
Topological qubits may ultimately push Microsoft forward in the quantum computing race — because, if successful, we may be looking at larger, more scalable quantum systems that don’t require as much error correction as other qubit types. Microsoft’s eventual goal may be to build large-scale quantum systems that are completely error-resistant.
There is room for skepticism, though.
“Microsoft’s approach with topographical qubits is interesting, but they’re not even 100% sure of that claim. It takes a while for advancements to become truly meaningful, and I just don’t think we’re there yet,” said Clyde Williamson, Senior Product Security Architect at Protegrity.
Roger Williams from Kinsta, a web hosting provider, noted we also have to consider how accelerations in quantum computing could change the way we think about cloud services as a whole, particularly in how we change our security and entire infrastructure.
“Data centers may soon integrate quantum co-processing, encryption will need to evolve to withstand quantum threats, and AI could see exponential gains in speed and efficiency,” Williams said. “The question will be when this happens and at the moment it should be considered with a long timeframe in mind.”

While it likely won’t be relevant for enterprises anytime soon, it would be a turning point for the healthcare industry, notably. From drug research to faster and more accurate diagnoses, it could save millions of lives every year. But even if highscale data centers begin quantum co-processing (using quantum computing alongside classical computing systems), it will require major upgrades in power and storage.
This won’t be an easy task, especially with the current shipment delays and high costs in the United States, which are partly due to new tariffs imposed by the current administration on countries like China, Mexico, Canada, and possibly Taiwan.
Until then, Williamson suggests organizations begin planning on replacing older encryption algorithms with newer, quantum-resistant ones that are available right now.
“That plan can be for three years into the future, five or whatever works best for your organization,” he said. “But now is a great time to put that plan into motion or at least get it put together.”