Donald Trump’s 2031 Post-Quantum Security Mandate Sparks Urgent Crypto Upgrade Efforts

TheNewsCryptoPublished on 2026-06-23Last updated on 2026-06-23

Abstract

U.S. President Donald Trump has issued executive orders mandating federal agencies to upgrade their cryptographic systems to quantum-resistant technologies. Key deadlines include enhancing critical systems by December 2030 and migrating all federal digital signature infrastructure to post-quantum standards by December 2031. The move addresses "harvest now, decrypt later" threats, where encrypted data could be decrypted by future quantum computers. The directive has spurred urgency in the crypto and blockchain industry, which relies heavily on elliptic curve cryptography vulnerable to quantum attacks. Recent advancements, like those from Google Quantum AI, have reduced the resources needed for such attacks. In response, projects like Ethereum, Algorand, and Ripple are developing or implementing quantum-resistant signature schemes and migration plans. The mandate also highlights risks to Bitcoin, where exposed public keys in legacy addresses could be targeted. Overall, the orders accelerate a broader shift toward post-quantum security across both government and private sectors.

U.S. President Donald Trump issued executive orders to improve America’s preparedness for quantum computing advancements in the future. These orders set up strict timelines for federal agencies to upgrade their cryptographic technologies to quantum-resistant technologies.

By virtue of Executive Order 14409, the federal agencies will need to enhance certain important establishment systems by December 2030. Furthermore, the administration has called for agencies to migrate all federal digital signature infrastructure to post-quantum standards by December 2031.

The White House raised concerns about “harvest now, decrypt later” operations that target encrypted government and corporate data across the United States. Officials warned that foreign actors can collect encrypted data today and use quantum computers to decrypt it in the future.

In order to expedite preparation efforts, President Trump ordered the Department of Commerce and the National Institute of Standards and Technology to initiate a pilot program of post-quantum migration. However, while Executive Order 14411 seeks to enhance domestic quantum computing capabilities and bolster supply chain resilience, it also provides for updates to national quantum strategies and technology benchmarks up to 2028.

Quantum-Resistant Pushing from the Crypto Industry

The federal directive has brought significant attention to the crypto industry since all blockchain networks heavily depend on elliptic curve cryptography. Participants in the industry have come to see quantum computing as an upcoming threat that will require necessary infrastructure enhancements.

Latest developments at Google Quantum AI have shown progress that has drastically decreased the resource requirements for attacking cryptographic systems. Experts have found that efficient use of Shor’s algorithms can enable attacks on most of the commonly used blockchains’ signature schemes. Several blockchains have already made plans to make themselves quantum-resistant. The Ethereum team came up with inexpensive methods of account protection through signature schemes that have been approved by NIST.

The Algorand Foundation is set to introduce Falcon post-quantum signature schemes and hybrid accounts by 2027. Ripple has launched a four-phased plan to become quantum-resistant by 2028.

Industry’s Attention Focused on Long-Term Security

There is also an extra pressure on Bitcoin as there are millions of coins held in legacy addresses, meaning that public keys are exposed in the network. There are continuous observations regarding the way big blockchain networks plan to adjust their security architecture before the capabilities of quantum computers reach maturity. It was reported that the White House’s guidance only emphasizes the importance of migrating to post-quantum architecture.

Highlighted Crypto News:
Fed Chair Kevin Warsh Faces Congress on July 14 Amid Rate Hike Debate

TagsBlockchainDonald TrumpquantumsecurityTRUMPU.S

Trending Cryptos

Related Questions

QWhat is the main goal of President Donald Trump's Executive Order 14409 regarding quantum computing?

AThe main goal of Executive Order 14409 is to improve America's preparedness for quantum computing advancements by setting strict timelines for federal agencies to upgrade their cryptographic technologies to quantum-resistant standards, including enhancing certain critical systems by December 2030.

QWhat specific threat does the White House warn about in relation to encrypted data and quantum computers?

AThe White House warns about 'harvest now, decrypt later' operations, where foreign actors can collect encrypted data today and use future quantum computers to decrypt it, posing a risk to government and corporate data security.

QWhich blockchain networks are mentioned as having plans to become quantum-resistant, and by when?

AThe article mentions that the Algorand Foundation plans to introduce Falcon post-quantum signature schemes and hybrid accounts by 2027, and Ripple has launched a four-phased plan to become quantum-resistant by 2028.

QWhy is the crypto industry particularly concerned about the rise of quantum computing?

AThe crypto industry is concerned because all blockchain networks heavily depend on elliptic curve cryptography, which could be broken by quantum computers using algorithms like Shor's algorithm, threatening the security of digital signatures and funds stored on blockchains.

QWhat additional pressure does Bitcoin face in the context of quantum computing threats?

ABitcoin faces extra pressure because millions of coins are held in legacy addresses where the public keys are already exposed on the network. This makes those funds potentially vulnerable if quantum computers become capable of deriving private keys from public keys in the future.

Related Reads

A Threefold Performance Leap! NEAR Achieves 200ms Physical Block Time Limit with SPICE

NEAR's core development team, Near One, has announced its next major protocol evolution: SPICE (Separation of Consensus and Execution). Currently in development, SPICE represents the most significant upgrade before the full implementation of Nightshade 3.0. Its core innovation is decoupling the consensus layer, responsible for ordering transactions, from the execution layer, which processes them. This allows the consensus layer to run at full speed without waiting for transaction execution to complete. Once deployed, SPICE is projected to triple NEAR's block production speed, achieving a 200ms block time, which is considered the physical limit due to the speed of light and network latency. This leap will dramatically reduce transaction latency and finality, with transactions confirming in roughly 0.4 seconds—faster than a typical card payment. The upgrade also enables more complex, long-running transactions and significantly improves user experience for applications like NEAR Intents and near.com. Beyond raw speed, SPICE enhances network scalability and security. It enables deeper parallelism, efficiently distributing workload across shards and improving resource utilization. The simpler block structure and lighter contracts also facilitate formal verification and security auditing. Furthermore, SPICE lays the critical groundwork for future Nightshade 3.0 features, most notably atomic cross-shard transactions, which would simplify complex contract logic and eliminate development hurdles caused by asynchronous execution. The Near One team is actively developing SPICE, targeting deployment in the coming months.

Foresight News1h ago

A Threefold Performance Leap! NEAR Achieves 200ms Physical Block Time Limit with SPICE

Foresight News1h ago

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Decentralized Reasoning: Beyond the Hype, a Key to Breaking AI's Centralized Monopoly A future scenario where a powerful AI model is banned by a major government illustrates the core value proposition of decentralized AI: resistance to censorship. The core bet of decentralized inference networks is mitigating this risk, with other benefits like cost being secondary. The path is extremely difficult, involving four key challenges: 1. **Running Massive Models:** Distributing a single model across a decentralized GPU swarm requires sophisticated techniques like pipeline and speculative decoding to overcome crippling network latency, aiming for usable speeds (e.g., 30-40 tokens/second). 2. **Proving Model Integrity:** Verifying that a node runs the correct model is critical. Solutions range from cryptographically secure but slow ZKML to faster, economically-secure methods like statistical fingerprints, deterministic re-execution, or live-weight proofs, each involving trade-offs between integrity, latency, and cost. 3. **Ensuring Prompt Privacy:** Simply sharding a model does not protect user inputs from nodes. Robust solutions currently require trusted hardware (TEEs) or advanced cryptography (FHE), which are not yet widely deployed in consumer swarms. 4. **Building a Real Market:** Identifying the ideal customer is tough. Beyond speculative AI agents, the viable market currently consists of startups embedding AI and projects needing batch processing (e.g., synthetic data generation), where decentralized aggregation can be an advantage over low-latency needs. The article analyzes several projects tackling these problems, such as Dolphin Network (live-weight proofs), Inference.net (statistical verification), Morpheus (TEE-based), and Darkbloom (Apple Secure Enclave). It provides a framework: decentralization is a "tax" for latency-sensitive applications (e.g., chat) but a potential supply-side advantage for throughput-oriented tasks (e.g., batch processing). The long-term vision is a closed data loop where decentralized inference generates valuable data (traces, preferences) to feed decentralized training networks, which in turn produce better open-weight models for the inference networks. A due diligence checklist advises focusing on projects that: are truly decentralized at specific layers; have a credible integrity method; offer real cost benefits; ensure genuine privacy; handle node reliability; have paying users; and are built by teams with deep AI expertise. The ultimate goal should be products that appeal beyond the crypto-native audience, using crypto mechanisms invisibly to deliver better cost, performance, or privacy.

Foresight News1h ago

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Foresight News1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片