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China’s New Laser Annealer Designed to Increase Quantum Chip Quality and Quantity

Blue laser lights show

Chinese quantum computer developers and scientists may now have access to a laser annealer to increase production of quality quantum chips, according to Global News.

The news outlet, based on Chinese media reports, said that engineers have developed the country’s first MLLAS-100 laser annealer, which will help solve instability and increase production quality as quantum bit numbers increase.

Origin Quantum Computing Technology, based in Hefei, East China’s Anhui Province,  developed the device, adding that it can reach 100 nanometer ultra-high positioning accuracy to achieve the laser annealing in a single qubit.

The scientists behind the development of the MLLAS-100 laser annealer likens the device to a surgical device for accurately removing defects in quantum chips and enhance chips performance, according to the Global News.

The laser annealer is like a “scalpel” for a doctor performing surgery, which can be used to improve the production quality of quantum chips by solving targeted problems following issues detected by the nondestructive probe electrical measurement platform, said Jia Zhilong, deputy director of Anhui Quantum Computing Engineering Research Center.

The laser annealer will be used with a newly developed nondestructive probe electrical measurement platform, according to reports. The probe is dedicated to finding problems while the laser annealer aims to solve the issues during the production, leading to the manufacture of higher quality quantum chips, Jia said.

For more market insights, check out our latest quantum computing news here.

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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