Amends the National Quantum Initiative Act to require the Department of Energy to enhance quantum information science research, including AI integration. Establishes strategic planning, industry outreach, and funding of up to $130 million annually through 2027 for related activities.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal risk domain coverage, primarily addressing competitive dynamics (6.4) through its focus on advancing U.S. quantum capabilities and commercialization. The document is focused on research, development, and funding rather than risk mitigation or governance of AI/quantum harms.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs Scientific Research and Development Services through Department of Energy research programs. It also has significant coverage of the Information sector (quantum computing, communications, networking) and the Trade, Transportation and Utilities sector (energy sector applications, electric grid management). Multiple other sectors are mentioned as application areas but with minimal governance detail.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the United States Congress that amends the National Quantum Initiative Act. It contains mandatory language establishing legal obligations for the Department of Energy and authorizes specific appropriations.
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Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document covers multiple AI lifecycle stages with emphasis on Build and Use Model (quantum computing integrated with AI/ML), Plan and Design (strategic planning requirements), and Deploy (commercialization and industry outreach). It addresses quantum information science research that integrates with AI and machine learning systems.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems, AI models, and machine learning in the context of quantum computing integration. It does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on hybrid quantum-AI systems rather than standalone AI categories.
Document data from AGORA, CSET Emerging Technology Observatory.