Microsoft announced a new internally developed quantum processor on Tuesday, saying the device - called Majorana 2 - was redesigned with the aid of artificial intelligence and that the company now believes commercially useful quantum systems can be available by 2029. The 2029 timeline aligns Microsoft with rival IBM, which has stated a similar target for quantum machines.
The new chip is a successor to Microsoft’s first Majorana device introduced last year. Executives described a significant change in materials and credited AI-driven materials science tools for enabling the redesign, which they say yielded dramatic improvements on some performance measures.
Jason Zander, an executive vice president at Microsoft who oversees the company’s quantum efforts, said the team moved away from the aluminum-based superconducting wiring commonly used in quantum chips and adopted lead - a heavier, water-soluble element - for Majorana 2. According to Zander, the change in materials, enabled by AI tools developed at Microsoft, delivered up to a 1,000-fold improvement in certain aspects of the chip’s performance.
"The reason why people don’t use it to build chips is it requires an incredibly specialized process to be able to go figure that out. And we figured it out," Zander said, describing the challenge of using lead on a chip without it washing away during manufacturing. He characterized the work as a materials breakthrough rather than a purely engineering tweak.
Microsoft’s quantum strategy centers on quasiparticles known as Majoranas. The company has reported observing Majoranas, a development that underpins its approach to building quantum systems. While Microsoft previously declined to provide a target year for commercially useful machines - saying only that it would be a matter of years rather than decades - the firm has now set 2029 as its new target.
The 2029 target positions Microsoft alongside IBM and places it in competition with other major technology firms and initiatives, including Alphabet’s Google, Amazon and several Chinese efforts. Microsoft and these rivals are pursuing quantum systems with the potential to address problems in medicine, chemistry and cybersecurity that conventional computers could take many years to solve.
Notwithstanding Microsoft’s progress, the company’s claims have drawn criticism from parts of the scientific community. Some physicists say Microsoft has not made enough underlying data publicly available to allow independent verification of its results. The journal Science indicated last year that it was investigating data from an earlier Microsoft study from 2020, and some critics say issues in that earlier research persist in material released on Tuesday.
Henry Legg, a lecturer in quantum physics at the University of St. Andrews in Scotland, was quoted expressing skepticism about reproducibility. "Microsoft can use as much lead as they like - it is not going to shield them from the basic scientific principle that your results need to be reproducible," Legg said.
Microsoft executives defended their position on data release, saying trade secrets prevent them from sharing all experimental details publicly. They added that confidential briefings with the U.S. Defense Advanced Research Projects Agency have occurred as part of an evaluation of different quantum system approaches. Zander told critics that Microsoft has done sufficient physics work to justify continued engineering investment, saying, "Believe me, I would not spend the money on the engineering if I felt like we were still off on the physics."
The announcement also came with corporate moves linked to Microsoft’s quantum ambitions. The company said it spun out an entity to manufacture quantum chips for other parties, noting support from the U.S. administration. Microsoft had previously refrained from specifying a target year for its next-generation quantum machines, describing the timeline only in general terms. The 2029 projection represents a more concrete milestone.
The race to develop practical quantum computers continues, with multiple large technology companies and international efforts vying to demonstrate systems that could tackle complex scientific and security challenges. Microsoft’s Majorana 2 and its AI-enabled materials development approach are the company’s latest contribution to that competitive landscape, even as questions about transparency and reproducibility remain part of the public discussion.
Clear summary
Microsoft unveiled Majorana 2, a quantum chip redesigned with AI-driven materials science that substitutes lead for aluminum in its superconducting structures, and set a target of 2029 to field commercially useful quantum machines. Executives report major performance improvements, but scientific critics question the availability of data needed to reproduce the results; Microsoft cites trade secrets and confidential briefings with the U.S. Defense Advanced Research Projects Agency.
Key points
- Microsoft introduced Majorana 2, an AI-enabled redesign using lead instead of aluminum for superconducting components and claiming up to a 1,000-fold improvement in certain performance aspects.
- The company now expects commercially useful quantum systems by 2029, aligning its timeline with IBM and joining a competitive field that includes Google, Amazon and Chinese efforts; sectors affected include technology, pharmaceuticals (medicine and chemistry research), and cybersecurity.
- Microsoft spun out a chip manufacturing company with backing from the U.S. administration and has shared detailed data confidentially with the U.S. Defense Advanced Research Projects Agency while withholding some public disclosures for trade-secret reasons.
Risks and uncertainties
- Scientific reproducibility concerns: Critics say Microsoft has not released sufficient public data to independently verify its Majorana observations, creating uncertainty for the scientific and investment communities - impacting research institutions and companies in quantum technology.
- Data transparency limits: Microsoft has cited trade secrets for withholding full experimental details, which may constrain peer review and slow external validation processes relevant to government and commercial adopters.
- Manufacturing complexity: The shift to lead, a water-soluble material, required novel fabrication processes; the need for highly specialized manufacturing may pose scaling and production risks for chip suppliers and foundries.