Google Quantum AI said in a paper published in Science that its "magic state cultivation" technique reduced the error rate by about 40 times on the company’s Willow processor, while reaching 99.99% fidelity for the resulting magic states. Magic states are single-use resources needed to run practical quantum programs, and earlier estimates had suggested that preparing them could account for as much as 95% of a quantum computer’s total compute capacity. Google said the work turns one of quantum computing’s most promising theoretical methods into something that can be used on chip in practice. According to the Techub summary, citing Decrypt, the advance is also one of the key pieces behind Google’s 2025 projection that the number of noisy qubits required to break RSA-2048 encryption could fall below one million. The report added that lower construction costs for quantum computers could speed up applications in drug design and new materials research, while also carrying implications for the cryptography used to secure bank logins and Bitcoin wallets.
Google Quantum AI said in a paper published in Science that its "magic state cultivation" technique reduced the error rate by about 40x on its Willow processor and achieved 99.99% fidelity for the magic states it produced.
Magic states are single-use resources required to run practical quantum programs. Earlier estimates had suggested that the cost of preparing them could consume as much as 95% of a quantum computer’s total compute capacity.
How Google framed the result
Google said the technique turns one of the most promising theoretical tools in quantum computing into something that can be used on chip in practice.
According to the Techub summary, citing Decrypt, the result is also one of the key factors behind Google’s 2025 projection that the number of noisy qubits needed to break RSA-2048 encryption could drop below one million.
Why it matters
The report said lower costs to build quantum computers would carry broad significance. That could speed up applications in areas such as drug design and new materials research, while also affecting the cryptography that protects bank logins and Bitcoin wallets.
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