Google has reduced the number of errors in quantum computing by 40 times thanks to a new method. The team from Google Quantum AI demonstrated the method of growing "magic" states on the Willow quantum processor, which significantly reduced the number of errors compared to traditional methods.
The development of the new method helps overcome one of the main obstacles to scaling quantum computers, which need to perform complex calculations with error correction. The accuracy in quantum computing reached a record 99.99%. "Magic" states are special quantum states necessary for performing universal quantum computations. The problem is that creating quality states with corrected errors requires significant computational resources, and it can take up to 95% of the entire computational power of a quantum computer.
Researchers Craig Gidney, Noah Shutty, and Cody Jones from the Google Quantum AI team have been working on solving this problem since 2024, developing the idea of a method that allows for obtaining higher quality quantum states through a series of coordinated measurements. On the Willow processor, the team achieved a 40-fold reduction in the number of errors and demonstrated T-type states with logical accuracy reaching 99.99%. However, Google emphasizes that the technology still needs to be scaled before it can be used for practical quantum computing. At the same time, the research results are also important for discussing the potential impact of quantum computing on the cryptocurrency industry. Google Quantum AI has already warned that future quantum computers may break cryptographic systems faster than previously expected.
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