The U.S. Google Quantum Artificial Intelligence (AI) Laboratory Research Team published a paper in the British magazine "Nature" on October 22, announcing that Google's newly developed "quantum response" algorithm achieved the first verifiable quantum advantage on the "Wello" chip applied to quantum computers.

Researchers such as Michelle H. Devore, one of the winners of this year's Nobel Prize in Physics and current chief scientist of quantum hardware at Google's Quantum AI Laboratory, said in their paper that the "quantum echo" algorithm runs faster than the world's fastest One of the supercomputers-the best classic algorithm running on the "cutting-edge" computer in the United States. In addition, this algorithm is verifiable, which means that the same answer can be obtained on a quantum computer of the same level, thereby confirming the accuracy of the results. This lays the foundation for scalable verification and brings quantum computing closer to practical use.

The research team also published the proof-of-principle experiment process in cooperation with the University of California, Berkeley, on the preprint website arXiv.

The new technology is similar to a highly advanced "rebound". researchers send a well-designed signal to the quantum system (the quantum bit on the "Wellow" chip), disrupting one of the quantum bits, and then reverse the evolution of the signal with precision, listening to the return "rebound".

Google CEO Sundar Pichai said on social media that day that this breakthrough is an important step for quantum computing to move towards practical applications. Researchers pointed out that this algorithm has broad application prospects in medicine, materials science and other fields, and lays the foundation for the practical application of quantum technology in the next five years.

However, some scientists are cautious about this achievement of Google, believing that more verification is still needed before it can be applied in practice.