Naoris launches post-quantum blockchain as quantum security risks gain attention
Naoris Protocol has launched its mainnet, introducing a layer-1 blockchain designed to use post-quantum cryptography for transaction validation and network security. The network is live with limited, invite-only participation, allowing early users to run validator nodes and process transactions.
According to an announcement shared with Cointelegraph, it integrates cryptographic standards finalized by the National Institute of Standards and Technology (NIST) to address risks in existing blockchains, where current encryption methods could become vulnerable over time.
Before mainnet, the protocol’s test network processed more than 100 million transactions and identified hundreds of millions of potential threats, according to the project, with activity spanning millions of wallets and nodes.
The system uses a consensus model called distributed proof of security (dPoSec) to verify transactions across nodes, while the NAORIS token is intended to support network operations as the economic model develops.
The rollout begins with a restricted group of validators and partners, with broader access expected to expand in phases.
The project lists advisers with backgrounds in cybersecurity, government and enterprise technology, and is backed by investors including Draper Associates.
New research suggests quantum computing may arrive sooner than expected
The launch comes as revised estimates for quantum computing, which uses qubits and quantum states to process information differently from classical computers, are driving efforts to move away from current cryptographic standards.
New research from Google released on Monday suggests quantum computers may need far fewer resources than previously thought to break blockchain encryption. The study found fewer than 500,000 physical qubits could crack systems securing Bitcoin (BTC) and Ether (ETH), a roughly 20-fold reduction from earlier estimates.
The findings point to a shorter timeline for quantum risk, with Justin Drake, a researcher at the Ethereum Foundation, estimating at least a 10% chance that a quantum computer could recover a private key by 2032.
Breakdown of Bitcoin supply by address type and quantum exposure risk. Source:
Google Quantum AI
Researchers at California Institute of Technology working with Oratomic reached similar conclusions, recently finding that improvements in error correction (which reduce the number of qubits needed to stabilize computations) could lower the requirements for practical systems to 10,000 to 20,000 qubits, down from earlier assumptions of millions.
Based on these reductions, the researchers said a viable quantum computer could emerge by around 2030.
Blockchain developers are beginning to respond. In January, developers in the Solana ecosystem introduced a quantum-resistant vault that uses hash-based signatures to generate new keys for each transaction, reducing the exposure of public keys.
On March 24, developers from the Ethereum Foundation launched a “Post-Quantum Ethereum” resource hub outlining plans to upgrade the network’s cryptography, targeting protocol-level changes by 2029 while also noting the multi-year complexity of such a transition.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Has the poor performance of new stocks in the same track dampened subscription enthusiasm? Bamboo makes an emergency halt the night before pricing, doubling its valuation in a year but struggling to find a "buyer".
Bamboo, the master underwriter for homeowners insurance in California and Texas, postponed its IPO on Tuesday. The company had planned to issue 35 million existing shares at $18–$20 per share to raise $665 million.

Is the AI replacement wave overestimated? Barclays: Only 20% of core workplace skills can be highly replicated, but amplification effects are quietly spreading
The impact of AI on the workforce is milder, yet more profound than previously imagined. Barclays' latest research dispels the panic of a "replacement wave"—only about 20% of core professional skills can truly be replicated by AI, but its "amplification effect" permeates almost every corner of every profession. What is more concerning is that the demand for AI skills is spreading from tech positions to management roles, and the rise of physical AI could even make human professional skills a new, scalable form of intellectual property.
Costco Q4 Earnings Preview: Membership and Capital-Return Test After a Near-Bear Pullback

