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IBM shows new quantum computing chip, targeting 2033 for large systems

International Business Machines’ (IBM) Quantum System Two computer containing three "Heron" processors is seen in this undated handout photo. Courtesy of International Business Machines/Handout via REUTERS/File Photo
International Business Machines’ (IBM) Quantum System Two computer containing three "Heron" processors is seen in this undated handout photo. Courtesy of International Business Machines/Handout via REUTERS/File Photo

In a demonstration that took place on Monday, International Business Machines (IBM.N) demonstrated a new quantum computing chip and machine that the company expects will be used as the foundation for much bigger systems in ten years.

Quantum computing involves using quantum physics to achieve computation rates far quicker than those of traditional silicon-based computers. Researchers from all around the world are working to perfect this type of computing. To continually outperform traditional computers, the goal has been to develop quantum computers that are dependable enough to be used in the real world.

Microsoft (MSFT.O), Google (GOOGL.O), and Baidu (9888. HK), all of which are owned by Alphabet, are among the companies that are competing to construct quantum machines. Other competitors include startups and country states.

Although researchers have been able to build machines that outperform traditional computers, they have been having trouble with data mistakes. On Monday, IBM demonstrated what it claims to be a novel method of linking chips within machines and connecting machines. This method, when paired with a new error-correction algorithm, can generate compelling quantum computers by the year 2033.

A machine known as Quantum System Two, which employs three “Heron” chips, is the first system to use these materials. According to Dario Gil, senior vice president and director of research at IBM, the development will appear to be relatively stable until the year 2029, which is the year in which the error-correction technologies will begin to take effect in their entirety.

Similar to how artificial intelligence systems that have been quietly developing over the previous 15 years have become substantially more complex over the past year, the machines should see a sudden increase in capabilities after that.

“You’re going to have to tie them together,” Gil stated about the most recent chips provided by IBM. “If you want to be considered realistic about it, you are going to have to do a lot of these things together. Because if it isn’t, it’s nothing more than a paper exercise.”

Within the next several years, IBM is not the only quantum company focusing on technology focused on machines. At the beginning of this year, the startup company PsiQuantum, collaborating with GlobalFoundries (GFS.O) to manufacture its chips, disclosed to Reuters that it intends to have a commercial machine within the next six years.

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