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Ripple Unveils Quantum Resistance Roadmap, Aiming to Make XRP Ledger Quantum-Secure by 2028

2026.04.21 11:38:57

April 21 — Ripple has officially unveiled its quantum resistance roadmap for the XRP Ledger (XRPL), targeting full quantum security for the network by 2028. The plan is primarily designed to counter the “Harvest Now, Decrypt Later” attack vector—where an adversary collects encrypted data today and decrypts it later using quantum computers. The roadmap unfolds in four phases: ### Phase 1: Q-Day Contingency Planning (In Progress) Establish a Quantum Day (Q-Day) contingency response framework. If existing classical encryption is suddenly compromised, the network will immediately stop accepting traditional public-key signatures, forcing a shift to quantum-secure accounts. Concurrently, explore asset ownership verification via post-quantum zero-knowledge (ZK) proofs—enabling existing holders to recover funds securely in emergencies without exposing vulnerable keys. ### Phase 2: Risk Assessment & Algorithm Testing (H1 2026) Conduct a full assessment of post-quantum cryptography’s impact on XRPL’s performance, storage, and bandwidth. Collaborate with Project Eleven to run validator-level tests and Devnet benchmarking, deploy NIST-standardized ML-DSA quantum-secure signatures, and build a post-quantum custodial wallet prototype. XRPL core engineer Denis Angell has already deployed ML-DSA on XRPL’s AlphaNet. ### Phase 3: Devnet Hybrid Integration (H2 2026) Integrate candidate post-quantum signature schemes alongside existing elliptic curve signatures on the Devnet, letting developers test performance and system impacts without disrupting mainnet. Explore post-quantum ZK proof primitives and homomorphic encryption for Confidential Transfers to boost XRPL’s privacy and compliance for real-world asset tokenization. ### Phase 4: Mainnet Full Upgrade (Target 2028) Submit a formal protocol amendment; upon validator approval, enable native post-quantum cryptography on mainnet. Prioritize production readiness: throughput tuning, validator reliability checks, and ecosystem-coordinated migration to ensure a smooth transition without sacrificing network speed or settlement finality.
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