Crypto Firms Step Up "Quantum-Proof" Security as Google Flags Faster-Than-Expected Risk
Crypto companies are accelerating efforts to make wallets and blockchains resistant to future quantum attacks, as new research rekindles concern that next-generation machines could undermine today's encryption sooner than previously assumed.
The push gained momentum after Google researchers suggested quantum computers may need far fewer resources to break widely used cryptographic protections than experts once believed. Industry executives cited by the Financial Times now place the arrival of practical quantum machines around 2030, a timeline that is prompting major networks and service providers to move earlier on defensive upgrades.
Firms including RippleX, Circle, Tron and the Ethereum Foundation have begun developing post-quantum security tools. Work is focused not only on hardening wallet protections, but also on strengthening transaction verification and broader network infrastructure.
Quantum computers differ from conventional systems by evaluating many possibilities in parallel, which could make them dramatically more effective at solving certain mathematical problems underpinning encryption. Because bitcoin and other cryptocurrencies rely on cryptography to secure private keys and validate transactions, executives warn that sufficiently capable quantum machines could eventually expose keys and put digital assets worth billions at risk.
Ayo Akinyele, head of engineering at RippleX, told the Financial Times that the risk has shifted from theoretical to credible. RippleX is planning infrastructure upgrades over the next two years, starting with wallet security designed to withstand future quantum-enabled attacks.
Google's findings have also intensified debate over how much time the sector has to act. Ryan Babbush, a lead researcher at Google, urged the industry to begin preparations now rather than waiting for quantum technology to mature.
Views still diverge on urgency. Kostas Chalkias of Mysten Labs said quantum computing remains a longer-term concern, while AI-driven cyberattacks represent a more immediate threat vector today.
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