S 1346 Defense Quantum Acceleration Act of 2025

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-04-08

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains. It primarily focuses on quantum information science technology adoption in defense contexts, with only indirect connections to AI through mentions of quantum computing and quantum-enabled machine learning. The document addresses strategic competition and technology development acceleration but does not explicitly cover AI-specific risks, harms, or failures described in the MIT taxonomy.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Scientific Research & Development Services
• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Professional & Technical Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector through the Department of Defense and Armed Forces, with significant engagement requirements for Scientific Research and Development Services including research laboratories, federally funded R&D centers, universities, and quantum information science companies. The document mandates collaboration between defense and research sectors to accelerate quantum technology adoption.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill from the United States Congress that establishes binding legal obligations for the Department of Defense using mandatory language ('shall') throughout, creates formal positions and responsibilities, requires reports to Congress, authorizes appropriations, and establishes enforceable requirements with clear accountability mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is enacted by Congress as legislation. The heading states it was enacted by the Senate and House of Representatives of the United States of America in Congress assembled.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Infrastructure_Provider, AI_Deployer
• Summary: The Act applies to the Department of Defense and its components, requires the Secretary of Defense to establish activities and designate a Principal Quantum Advisor, and mandates engagement with industry, academia, and research institutions involved in quantum information science technologies.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Secretary of Defense has primary enforcement authority and must designate a Principal Quantum Advisor with coordinating and oversight responsibilities. The Under Secretary of Defense (Comptroller) enforces budget review requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Congress monitors implementation through mandatory reports. The Principal Quantum Advisor monitors quantum information science activities and budget adequacy within DoD. The Secretary submits reports to Congress on budget inadequacies.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

While this document primarily addresses quantum information science technology rather than AI specifically, it covers multiple lifecycle stages including planning and design (strategic planning, identifying use cases), building and using models (quantum computing, quantum-enabled machine learning), verification and validation (prototyping, evaluation at scale), deployment (transition to operational use), and operation and monitoring (continuous evaluation, operational implementation). The document takes a comprehensive approach to technology transition from research through operational deployment.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

No technical scope terms identified.

Technical Scope Summary

The document primarily focuses on quantum information science technologies broadly, with limited specific mention of AI. It explicitly references 'quantum-enabled machine learning' and 'quantum computing' which are relevant to AI systems, but does not define or extensively discuss AI models, AI systems, or specific AI categories like frontier AI, general purpose AI, or generative AI. There are no mentions of compute thresholds in FLOP terms or open-weight models.