قفز سهم Algorand للتو بنسبة 50% بعد أن أبلغت Google عن المخاطر الكمومية بالنسبة إلى Bitcoin وEthereum

Algorand has emerged as an early standout in the crypto market’s latest quantum security debate after a recent Google Quantum AI paper highlighted the blockchain as a live example of post-quantum cryptography being deployed on a network. The attention came as the paper sharpened concerns around Bitcoin and Ethereum , two networks whose size, age, and design choices could make any future migration to quantum-resistant infrastructure slower and more complicated. Against that backdrop, Algorand’s quieter work on Falcon digital signatures, state proofs, and key rotation suddenly looked less like a niche technical experiment and more like a practical head start. The shift in attention helped lift Algorand’s token sharply over the past week, with traders treating the Google paper as validation of work already underway on the network. According to CryptoSlate's data, ALGO, the blockchain network's native token, is one of the top performers over the past week, gaining around 50% to rise to $0.12 as of press time. Notably, the price performance came less than a week after the token fell to an all-time low of $0.08. Algorand's quiet quantum computing lead over Bitcoin and Ethereum Algorand’s advantage over Bitcoin and Ethereum is narrower than the recent enthusiasm suggests, but it is also more concrete than what many larger chains can currently show. In its paper , Google described Algorand as an example of real-world deployment of post-quantum cryptography on an otherwise quantum-vulnerable blockchain . Related Reading Google slashes quantum cracking estimates by 20X creating $600 billion countdown for Bitcoin and Ethereum Google used zero-knowledge proofs to verify quantum attack estimates without exposing the underlying attack circuits. Mar 31, 2026 · Oluwapelumi Adejumo The distinction was important. It did not say Algorand had solved the problem end-to-end, but it did point to a network that had moved from theory into live implementation. Algorand’s core consensus and b