Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Physics

Experts Weigh in on Microsoft’s Topological Qubit Claim

Philip Ball

Published Mar 10, 2025• 0 citations
Publisher

Abstract

Tech giant Microsoft claimed in a recent press release to have made the first topological qubit–an important milestone in the development of quantum computers. But some experts say the firm’s claim has not been backed up by peer-reviewed research.
DOI
10.1103/physics.18.57

Related papers

Microsoft qubit claim scrutinized

Philip Ball

Tech giant Microsoft says it has made the first topological qubit, but some experts say the peer-reviewed research does not back it up, as Philip Ball explains.

Physics World•Apr 1, 2025•0 citations

Advancements in Topological Qubits: Microsoft's Majorana Approach

Sairamakrishna BuchiReddy Karri, Fakhrun Jamal, Mohd Tajammul (communicating Author)

Topological qubits, especially Majorana zero modes based qubits, possess the intrinsic error correction and stability, and thus have the potential to revolutionize computation. Majorana based topological qubits are the focus of Microsoft's approach and they are different from traditional qubit technologies. In this study, we investigate the theoretical foundations of scalable, fault tolerant quantum computing, evaluate Microsoft's progress towards this goal and identify key challenges toward this challenging goal. A study based on a survey methodology is performed, studying awareness and perception about topological qubits. Theoretical advantages of topological qubits are evident, but realization of them through material fabrication and integration is difficult, as found. The results of the survey show the knowledge gaps of respondents as well as perceived benefit of topological quantum computing. There are more advances to be made in qubit control and scalability, but the Majorana ISing process proposed by Microsoft is promising. It is needed to bridge the gap between practicability and theory, for future research should be about the increase of material stability as well as experimental validation.

•May 27, 2025•0 citations

Microsoft’s Claim of a Topological Qubit Faces Tough Questions

Matteo Rini

Physics•Mar 21, 2025•0 citations

What is Quantum Computing and How it Works

Bahman Zohuri

Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM, Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer—one that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way. Most of these milestones involve packing more quantum bits, or qubits—the basic unit of information in a quantum computer—onto a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super Artificial Intelligence (SAI) in the near-term time frame

Journal of Material Sciences & Manfacturing Research•Jul 28, 2020•2 citations

What is Quantum Computing and How it Works

Bahman Zohuri, Farhang Mossavar Rahmani

Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM, Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer—one that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way. Most of these milestones involve packing more quantum bits, or qubits—the basic unit of information in a quantum computer—onto a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super Artificial Intelligence (SAI) in the near-term time frame.

•Dec 31, 2020•4 citations

News

Dina Genkina, Rina Diane Caballar, Samuel K. Moore +3 more

Microsoft and Nokia have made significant efforts toward topological quantum computers—a new type of quantum computer that could be far less fragile than other options. But bulletproof evidence of a topological quantum bit remains elusive.

IEEE Spectrum•May 1, 2025•0 citations
Topological qubits, especially Majorana zero modes based qubits, possess the intrinsic error correction and stability, and thus have the potential to revolutionize computation. Majorana based topological qubits are the focus of Microsoft's approach and they are different from traditional qubit technologies. In this study, we investigate the theoretical foundations of scalable, fault tolerant quantum computing, evaluate Microsoft's progress towards this goal and identify key challenges toward this challenging goal. A study based on a survey methodology is performed, studying awareness and perception about topological qubits. Theoretical advantages of topological qubits are evident, but realization of them through material fabrication and integration is difficult, as found. The results of the survey show the knowledge gaps of respondents as well as perceived benefit of topological quantum computing. There are more advances to be made in qubit control and scalability, but the Majorana ISing process proposed by Microsoft is promising. It is needed to bridge the gap between practicability and theory, for future research should be about the increase of material stability as well as experimental validation.
Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM, Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer—one that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way. Most of these milestones involve packing more quantum bits, or qubits—the basic unit of information in a quantum computer—onto a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super Artificial Intelligence (SAI) in the near-term time frame
Companies such as Intel as a pioneer in chip design for computing are pushing the edge of computing from its present Classical Computing generation to the next generation of Quantum Computing. Along the side of Intel corporation, companies such as IBM, Microsoft, and Google are also playing in this domain. The race is on to build the world’s first meaningful quantum computer—one that can deliver the technology’s long-promised ability to help scientists do things like develop miraculous new materials, encrypt data with near-perfect security and accurately predict how Earth’s climate will change. Such a machine is likely more than a decade away, but IBM, Microsoft, Google, Intel, and other tech heavyweights breathlessly tout each tiny, incremental step along the way. Most of these milestones involve packing more quantum bits, or qubits—the basic unit of information in a quantum computer—onto a processor chip ever. But the path to quantum computing involves far more than wrangling subatomic particles. Such computing capabilities are opening a new area into dealing with the massive sheer volume of structured and unstructured data in the form of Big Data, is an excellent augmentation to Artificial Intelligence (AI) and would allow it to thrive to its next generation of Super Artificial Intelligence (SAI) in the near-term time frame.