Microsoft Aims to Develop Quantum Supercomputer in 10 YearsMicrosoft Aims to Develop Quantum Supercomputer in 10 Years

Technology uses stable qubits the company unveiled last year

Berenice Baker, Editor, Enter Quantum, co-editor AI Business

July 4, 2023

1 Min Read
Microsoft
Future quantum computers could simulate millions of molecules in the time is currently takes to simulate hundreds.Future quantum computers could simulate millions of molecules in the time is currently takes to simulate hundreds.

Microsoft has published a six-step quantum roadmap that it claims could lead to a quantum supercomputer within ten years.

The technology centers around a type of stable topological qubit called Majorana that the company demonstrated last year.

In a blog post, Microsoft technical fellow and corporate vice-president of quantum hardware Chetan Nayak set out the step to achieve the company’s goals, with the first step marked as “achieved”.

1. Create and control Majoranas. 

2. Developing a hardware-protected qubit, also known as a topological qubit

3. High-quality hardware-protected qubits.

4. Developing a multi-qubit system.

5. Making that system resilient.

6. A practical quantum supercomputer.

Quantum Implementation Levels

Microsoft described the three levels of development of quantum hardware on the route to a practical quantum computer than can deliver quantum advantage:

Level 1—Foundational

These are quantum systems that run on noisy physical qubits. This includes all of today’s

 noisy intermediate scale quantum (NISQ) computers, such as the IonQ, Pasqal, Quantinuum, QCI and Rigetti to which Microsoft Azure Quantum provides access.

Level 2—Resilient

These will be quantum systems that operate on reliable logical qubits, which is essential to scaling.

Level 3—Scale

This represents quantum supercomputers that can solve impactful problems which even the most powerful classical supercomputers cannot, also known as quantum advantage or supremacy.

Azure Quantum Elements and Copilot

Microsoft has also introduced Azure Quantum Elements, which combines high-performance computing, AI and quantum, to speed up the research and development of new chemicals and materials.  

In March, the company introduced Copilot for Azure Quantum, a tool that taps generative AI to help scientists use natural language to reason through complex chemistry and materials science problems.

This article first appeared on IoT World Today's sister site, Enter Quantum

About the Author

Berenice Baker

Editor, Enter Quantum, co-editor AI Business, Informa TechTarget

Berenice is the editor of Enter Quantum and co-editor of AI Business. She has over 20 years of experience as a technology journalist, having previously worked at The Engineer and Global Defence Technology.

Before that, she worked as an IT consultant, fuelling her passion for technology and innovation. She graduated with one of the country's first-ever IT degrees so long ago it coincided with Tim Berners-Lee inventing the World Wide Web.

Berenice lives in north London with her cat Huxley. In her spare time, she enjoys going to music gigs, museums and galleries, dabbling in art and playing guitar (badly).

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