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You are at:Home»Science»The Chinese quantum processor is 1 quadrillion faster than the best supercomputer – and it competes with Google’s Willogle willow chip
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The Chinese quantum processor is 1 quadrillion faster than the best supercomputer – and it competes with Google’s Willogle willow chip

March 14, 2025004 Mins Read
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Researchers China have developed a Quantum processing unit (Qpu) which is 1 quadrillion (10¹⁵) times faster than the Best Superordinators on the planet.

The new 105 qubit chip prototype, nicknamed “Zuchongzhi 3.0”, which uses supercondulation quitrepresents a significant step forward for quantum calculation,, Scientists from the University of Science and Technology of China (USTC) in Hefei said.

IT compensation with the comparative analysis results defined by the last Willow Qpu in December 2024 which allowed scientists to claim a complaint for Quantum supremacy – where quantum computers are more capable than the fastest supercomputers – in comparative laboratory analysis.

Scientists have used the processor to perform a widely used quantum computer task random circuit Sampling (RSC) benchmark in a few hundred seconds, they declared in a new study published on March 3 in the journal Physical examination letters.

This test, a random circuit sampling task of 83 qubit, 32 layers, was also completed 1 million times faster than the Result defined by the sycamore chip of the previous generation of GooglePosted in October 2024. BorderThe second fastest supercomputer in the world would only be able to finish the same task in 5.9 billion years, however

In relation: The 1st global modular quantum computer which can operate at room temperature takes place online

Although the results suggest that QPUs are able to achieve quantum supremacy, specific RCS comparative analysis used quantum favorite methods. In addition, improvements in conventional algorithms that stimulate conventional computers can fill the gap, as happened in 2019 when Google Scientists announced for the first time that a quantum computer had outperformed a conventional computer – In the first use of the RSC reference.

Get the most fascinating discoveries in the world delivered directly to your reception box.

“Our work is advancing not only the borders of quantum computer science, but also lays the bases of a new era where quantum processors play an essential role in the statement of sophisticated challenges of the real world,” said scientists in the study.

Compete with the best quantum processor in Google

The last iteration of Zuchongzhi includes 105 transmonious qubits – devices made from metals such as tantalum, niobium and aluminum that reduced noise sensitivity – in a rectangular network of 15 by 7. This is based on the previous chip, which included 66 qubits.

One of the most important areas essential to the viability of quantum computers in the parameters of the real world is the time of coherence, a measure of the duration of a qubit can maintain its superposition and exploit the laws of quantum mechanics To perform calculations in parallel. Longer coherence times mean more complex operations and calculations are possible.

Another major improvement was the loyalty of the doors and the quantum error correction, which was an obstacle to the construction of useful quantum computers. The fidelity of the doors measures the accuracy of the precision of a quantum door which performs its planned operation, where a quantum door is similar to a conventional logical door, performing a specific operation on one or more qubits, handling their quantum state. The higher fidelity qubits mean fewer errors and more precise calculations.

Zuchongzhi 3.0 made an impressive loyalty to a parallel parallel door of 99.90%, and a door loyalty parallel to two qubit of 99.62%. Google’s Willow QPU poured it slightly, with results of 99.97% and 99.86% respectively.

These improvements were largely possible due to engineering improvements, in particular improvements in manufacturing methods and the design of better optimized qubits, scientists said in the study. For example, the last iteration defines lithographically the components that using tantalum and aluminum, linked by a plip process to the Indium sheet. This improves precision and minimizes contamination.

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