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Researchers May Have a Method to Keep Quantum Information as Safe as Classical Information

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Researchers may have found away to keep bits as safe as qubits. (Image: FREE SVG)

A team of Moscow State University-led researchers have theoretically shown that quantum information can be kept safe from errors just like classical information, according to Quanta Magazine.

The team — led by Pavel Panteleev and Gleb Kalachev of Moscow State University — released its findings in ArXiv, a preprint server.

This could be good news for quantum computing, the researchers report. Information in a quantum computer is subjected to all kinds of environmental noise that can cause errors in the very sensitive quantum states.

In the study, the researchers combined two classical methods and invented new techniques on their own. Prior to this study, most methods to keep quantum information safe from errors could not compete with the reliable and efficient methods of classical computers.

One of the challenges facing engineers is the challenge of increasing qubits without increasing the size and complexity of quantum computers. This research suggests a path forward to maintain quantum data performance stable as the number of qubits increase in a quantum computer. Quantum startups are now hedging that research, like this, could help lead the way to relatively complex, easy-to-maintain devices, relatively speaking.

The work is preliminary and still theoretical, but researchers are intrigued with the possibilities.

“It brings the theoretical quality of these quantum codes to the point that has existed in classical coding for a long time,” Naomi Nickerson of PsiQuantum told Quanta Magazine.

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

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

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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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