Microsoft Makes Progress in Developing Quantum Supercomputer

Microsoft has taken the first step towards creating a quantum supercomputer that is capable of solving problems that modern classic computers cannot handle. The announcement was made through a blog post by Microsoft’s Azure Quantum team.

The quantum supercomputer will be based on logical cubes, which provide high reliability and scalability of quantum calculations. Logical cubes are created from physical cubes using coding and error correction. For this purpose, Microsoft is using the approach of topological quantum calculation, which protects the cubes from noise and decoherence, a difficult task to accomplish using classic quantum computers.

In a scientific article, scientists from Microsoft proved that they were able to create and manipulate logical cubes from two physical cubes based on Majoran Fermions. This is the first step towards a quantum supercomputer, which will require thousands of logical cubes.

Microsoft has also introduced new tools and services to accelerate scientific discoveries using Azure Quantum. These include the Azure Quantum Elements, a system for conducting research in chemistry and material science using high-performance computing (HPC), artificial intelligence (AI), and quantum calculations. The Copilot in Azure Quantum is an assistant that simplifies work with the natural language and quantum code. Lastly, the Roadmap to Microsoft’s Quantum Supercomputer is the development map of the quantum supercomputer by Microsoft.

Majoran Fermions are particles that are their own antiparticles and thus, have no electric charge and cannot interact with an electromagnetic field. They have potential applications in different areas of physics such as understanding the nature of neutrinos and dark matter, testing the theories of super-symmetry, and in the physics of the solid body, Mayranovsky fermions can be used to create quantum computers that will be resistant to decorated and errors.

Topological quantum calculation is a way of realizing quantum algorithms using topological quantum numbers. These numbers can encode and manipulate information in quantum states that are resistant to noise and errors. Such conditions are called topologically protected or non-trivial. Topological quantum calculations have potential applications in different areas such as cryptography, condensed state physics, and chemistry.

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