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Crypto

Google quantum chip Willow cuts computation errors 40-fold, but bitcoin security threat still distant

Google succeeds in cutting errors in “magic state,” a key resource for quantum computing, to about one-fortieth of the previous level. Its Quantum AI team reports achieving 99.99% logical accuracy using its Willow processor, but the performance remains far from levels needed to crack bitcoin or RSA-2048 encryption. Researchers cite a wide gap in required accuracy and note that Willow has 105 physical qubits, far below estimates for such attacks.

Crypto

Quantum computers may reach practical use within 10 years as key bottlenecks ease

The prospect of quantum computers reaching a practical level within the next decade is drawing renewed attention, as progress emerges in error correction and logical qubit implementation. The focus is shifting to how effectively logical errors can be controlled as physical qubit counts rise. Techniques such as qLDPC codes and Google tests are cited, while AI is also being used in circuit design and qubit layout. The discussion is also reviving concerns about long-term threats to Bitcoin’s cryptography.

AI & Enterprise

King\'s College London secures early access to Google\'s Willow quantum chip

A research team at Britain\'s King\'s College London has secured early access to Google\'s next-generation quantum chip, Willow. The team was named the first beneficiary of an early-access programme run by Google\'s Quantum AI organisation and the UK\'s National Quantum Computing Centre. Led by physicist Eleanor Crane, the group plans to use Willow to model quantum analogues of brain neurons, aiming to link computational neuroscience with quantum-correspondence modelling.