Microsoft new quantum chip was made 1,000x more reliable with the help of Microsoft Discovery’s agentic AI
How Microsoft’s new quantum chip was made 1,000x more reliable with the help of Microsoft Discovery’s agentic AI
- Microsoft unveils Majorana 2, its next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI.
- Majorana 2’s new features include a new materials stack enabling a 1,000-fold improvement in reliability over the prior generation of qubits, with a mean qubit lifetime of 20 seconds and instances lasting as long as one minute.
- Microsoft now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half.
- Microsoft Discovery is now generally available. The platform for Frontier R&D lets customers deploy AI agent teams, guided by human expertise, to speed up scientific discovery.
- The new Microsoft Discovery app provides a local version of the platform’s core capabilities that individuals can download for free and use with a GitHub Copilot account.
Microsoft today unveiled Majorana 2, its newest topological quantum chip featuring a next-generation materials stack and qubits that are 1,000 times more reliable than their predecessors. With this progress, the team now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half.
By applying recent advances in agentic AI specially designed to speed the scientific process and accelerate collaboration, Microsoft’s quantum team is overcoming key barriers in reliability, speed and size that have limited the application of quantum computing to real-life scenarios.
For instance, the new chip’s qubits can maintain their quantum state 1,000 times longer than the first generation, enabling more reliable computation. While other common approaches measure a qubit’s “lifetime” in microseconds, Majorana 2 offers a mean qubit lifetime of 20 seconds, with some instances lasting as long as one minute. That improvement is roughly comparable to inventing a phone battery that instead of dying in a day could last for nearly three years on a single charge.
This exceptional reliability, fast speed (one microsecond operations) and small qubit size (1/100th of a millimeter) have put the team on a path to achieve a scalable quantum computer that is commercially valuable by 2029. Such a machine could tackle intractable problems in global health, food supply, sustainability, energy production and more, the company said.
Chetan Nayak, Microsoft technical fellow, said:
We need to make improvements each year that will get us closer to delivering a computer that we believe will have massive commercial and societal value,
“We’ve got to keep marching to that roadmap to accomplish that, but where are we relative to last year? We’re 1,000 times better.”
- Microsoft unveils Majorana 2, its next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI.
- Majorana 2’s new features include a new materials stack enabling a 1,000-fold improvement in reliability over the prior generation of qubits, with a mean qubit lifetime of 20 seconds and instances lasting as long as one minute.
- Microsoft now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half.
- Microsoft Discovery is now generally available. The platform for Frontier R&D lets customers deploy AI agent teams, guided by human expertise, to speed up scientific discovery.
- The new Microsoft Discovery app provides a local version of the platform’s core capabilities that individuals can download for free and use with a GitHub Copilot account.
Microsoft today unveiled Majorana 2, its newest topological quantum chip featuring a next-generation materials stack and qubits that are 1,000 times more reliable than their predecessors. With this progress, the team now expects to achieve a scalable quantum computer by 2029, cutting its original timeline in half.
By applying recent advances in agentic AI specially designed to speed the scientific process and accelerate collaboration, Microsoft’s quantum team is overcoming key barriers in reliability, speed and size that have limited the application of quantum computing to real-life scenarios.
For instance, the new chip’s qubits can maintain their quantum state 1,000 times longer than the first generation, enabling more reliable computation. While other common approaches measure a qubit’s “lifetime” in microseconds, Majorana 2 offers a mean qubit lifetime of 20 seconds, with some instances lasting as long as one minute. That improvement is roughly comparable to inventing a phone battery that instead of dying in a day could last for nearly three years on a single charge.
This exceptional reliability, fast speed (one microsecond operations) and small qubit size (1/100th of a millimeter) have put the team on a path to achieve a scalable quantum computer that is commercially valuable by 2029. Such a machine could tackle intractable problems in global health, food supply, sustainability, energy production and more, the company said.
Chetan Nayak, Microsoft technical fellow, said:
We need to make improvements each year that will get us closer to delivering a computer that we believe will have massive commercial and societal value,
“We’ve got to keep marching to that roadmap to accomplish that, but where are we relative to last year? We’re 1,000 times better.”
Nayak said,
Agentic AI has permeated almost everything we do—it’s just become kind of a very natural part of our workflow,
“The agents can really accelerate things as much or as little as you want. It can be as little as pulling information together and summarizing it, or it can go further down the road of synthesizing it more or generating an interesting hypothesis. I think that’s extremely powerful right now.”
Agentic AI can help find new materials
Majorana 1, introduced just last year, was revolutionary because it employed a topological superconductor, a special category of material that can create an entirely new state of matter that allows for more stable quantum computing. To improve on the original proof of concept, the team revisited the materials stack.
The original Majorana superconductor used aluminum, but Majorana 2 uses lead, which is commonly used to shield people and equipment from radiation in hospitals and industrial settings. In a quantum computer, a lead superconductor helps shield fragile qubits from cosmic disturbances that can make them unstable—but it took years to figure out how to overcome other tradeoffs.
Nayak said,
That was actually a fairly large change, and it led to big, big improvements in device quality,
While this line of materials research began long before the advent of agentic AI, the team used it to help manage the manufacturing of the new device, and Microsoft Discovery is being used more extensively for future Majorana materials work.
Critical parts of the Majorana quantum devices are designed atom by atom. To keep each atom in its correct spot, another material, an impurity, may be added to the crystalline structure. But adding too much or in the wrong way disturbs it, so it’s a difficult balance to strike, said Zulfi Alam, corporate vice president for quantum at Microsoft.
He said,
Finding the exact recipe, the right amount to put to get the desired energy structure, requires a lot of experimentation in the old world order.
”In the new world order, through simulations, you can see where the highly probable target is. And then with that knowledge, you ideally only have to experiment once,”
Agentic AI can analyze information at scale
The quantum computing project has many moving parts—software, architecture, design, the materials stack, fabrication processes, measurements and so on. A change in one area has ramifications that may require compensating elsewhere. AI agents help the team keep track of such complex, interrelated connections, Nayak said.
The quantum project also has huge quantities of data—nearly two decades’ worth, in many different formats. Before AI, the data was stuck in silos.
Alam said,
As you run AI agents on this data, they’re able to essentially resynthesize and make correlations that we as humans cannot see because no single individual has that much vision across that much data,
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Microsoft new quantum chip was made 1,000x more reliable with the help of Microsoft Discovery’s agentic AI, source
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