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Google Develops Landmark Quantum Computing Algorithm

CIO Insider Team | Thursday, 23 October, 2025
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Researchers at Google have developed a novel algorithm named 'Quantum Echoes', capable of processing calculations on a quantum computer at speeds 13,000 times greater than the most powerful conventional supercomputers available today. According to the team, this advancement moves us closer to implementing quantum computing in fields such as pharmaceutical research, material engineering, and various other scientific domains.

The research team calls Quantum Echoes as a significant advancement demonstrating quantum superiority while being the first algorithm of its kind that allows for independent verification through execution on separate quantum computing systems.

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The Quantum Echoes algorithm demonstrated its exceptional speed during benchmark testing conducted on Google's Willow quantum processing unit. The team detailed the algorithm's functionality in their research paper published on October 22 in Nature journal.

Beyond proving the algorithm's quantum superiority in their initial research, the scientists sought to demonstrate its applicability to real-world challenges. In a companion study released on October 22 through the arXiv preprint platform, the research group created a quantum circuit designed to replicate molecular behavior observed in nuclear magnetic resonance spectroscopy environments.

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The research team calls Quantum Echoes as a significant advancement demonstrating quantum superiority while being the first algorithm of its kind that allows for independent verification through execution on separate quantum computing systems.

Through this process, they uncovered new information about the atomic arrangements and structural properties of two molecular compounds containing 15 and 28 atoms each — specifically [4-13C]-toluene and [1-13C]-3',5'-dimethylbiphenyl (DMBP).

Although the experimental setup utilized a modest 15-qubit system, the researchers indicated that upcoming developments will allow for molecular simulations four times more complex — reaching computational scales that exceed the capabilities of traditional computing methods.

This latest study builds upon several decades of research that originated in the 1980s through the work of Michel Devoret, a physics professor at the University of California who also serves as the chief scientist of quantum hardware at Google Quantum AI. Devoret shared the 2025 Nobel Prize in physics for this research and contributed as a co-author to the current study.

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The Quantum Echoes algorithm operates through multiple phases, creating a sophisticated echo mechanism where a signal is transmitted into the quantum system and subsequently reversed to detect the returning "echo," with the entire process enhanced through constructive interference, which occurs when quantum waves combine and intensify each other.



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