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Intel introduced a new silicon-based quantum processor and donated it to scientists from around the world

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Intel introduced a new silicon-based quantum processor and donated it to scientists from around the world

The Intel Tunnel Falls quantum processor will be available for quantum computing research.


Intel introduced a new silicon-based Tunnel Falls quantum processor that will be made available to several U.S. universities and researchers to enable them to work with quantum computing hardware in person.

The 12-qubit Intel Tunnel Falls quantum processor was designed to engage scientists around the world to realize the full potential of quantum computing.

Intel said Tunnel Falls is Intel’s most advanced silicon spin qubit chip to date, building on the company’s years of experience in transistor design and manufacturing.

The release of the new chip is the next step in Intel’s long-term strategy to build a full-featured commercial quantum computing system, the company says.



CPU Intel Tunnel Falls compared to a human finger

Just as there are different ways to store binary information, there are different approaches to isolating, obfuscating, and reading qubits. In Intel chips, including Tunnel Falls, tiny structures called quantum dots trap individual electrons, which can then be used to store and read quantum information, thanks to a property known as their rotation.

By relying on quantum processors that run on silicon, like conventional processors in today’s computers, Intel wants to simplify the transition to quantum computing. Silicon may be the platform with the greatest potential for scaling quantum computing, according to Nature Electronics.

The chips can be produced with minor modifications on regular Intel production lines, the company says. This makes processors easier to manufacture. By creating more processors, Intel can share them with other researchers.

Some scientists disagree that silicon is the right solution for quantum computing, but numerous studies have shown that placing quantum computers on components used in conventional classical computing is the way to go.

A variety of approaches may be exactly what we need to solve the problems of quantum computing, ultimately leading to systems capable of solving large-scale computational problems that far exceed the capabilities of today’s machines.



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