Quantum-AI Governance Strategic Roadmap The Quantum-AI Governance Strategic Roadmap, developed by the Institute for Science, Entrepreneurship and Investments (ISEI), addresses a critical gap in the global governance landscape: no major international institution has yet published a comprehensive, dedicated framework for the convergence of quantum computing and artificial intelligence. While the World Economic Forum, the Council of the European Union, the OECD, NIST, and IEEE have each produced foundational work in quantum or AI governance separately, the landscape remains fragmented. This roadmap is designed to support governments, enterprises, the investment ecosystem, and international organizations in establishing trusted, resilient, and future-ready Quantum-AI ecosystems. This StratML rendition was compiled by Claude.ai from the following sources, the actual roadmap document not being publicly available at the time of compilation: ^^ * LinkedIn post by Prof. Dr. Ingrid Vasiliu-Feltes announcing the roadmap (June 2026): https://www.linkedin.com/in/ingrid-vasiliu-feltes-mdmba ^ * Commentary by Mike Davis (CISSP) summarizing the roadmap's 12-step framework in the LinkedIn post thread. ^ * ISEI organizational context: https://stratml.us/docs/ISEI.xml ^ * Related ISEI publication: https://www.linkedin.com/pulse/engineering-power-intelligence-trust-prof-dr-ingrid-vasiliu-feltes-swqhe Institute for Science, Entrepreneurship and Investments ISEI ISEI-2020 ISEI is a Miami, Florida-based institute founded in 2020 by Prof. Dr. Ingrid Vasiliu-Feltes, serving as the primary catalyst for scientific and digitally driven entrepreneurship and responsible deep tech initiatives. For a full organizational description, see https://stratml.us/docs/ISEI.xml Prof. Dr. Ingrid Vasiliu-Feltes Founder and CEO of ISEI; author of the Quantum-AI Governance Strategic Roadmap; global thought leader in deep tech governance, digital ethics, AI, and quantum technologies; physician executive (MD, MBA); Deep Tech and Diplomacy Ambassador for the Diplomatic World Institute; World Peace Ambassador to UNPAF. Governments National and regional governmental bodies seeking trusted frameworks and policy guidance for governing the convergence of quantum computing and artificial intelligence, including post-quantum cryptography migration and sovereign technology strategy. Enterprises Corporations and organizations across sectors seeking actionable guidance for responsible adoption of quantum-AI technologies, including risk assessment, hybrid infrastructure planning, ethics governance, and workforce development. Investment Ecosystem Angel investors, venture capitalists, institutional investors, and investment forums seeking evidence-based intelligence and due diligence frameworks for quantum-AI technology investments. International Organizations Multilateral bodies including the United Nations, the World Economic Forum, the OECD, the IMF, and the World Bank, whose missions intersect with digital trust, cybersecurity, economic resilience, and emerging technology governance, and which are positioned to adopt and advance integrated Quantum-AI governance frameworks. Standards Bodies Organizations including NIST, IEEE, ISO, and OASIS responsible for developing and maintaining technical standards for AI risk management, post-quantum cryptography, and trustworthy systems, whose work provides foundational inputs to integrated Quantum-AI governance. A world in which the convergence of quantum computing and artificial intelligence is governed through trusted, resilient, and future-ready frameworks that serve governments, enterprises, investors, and international organizations equitably and transparently. 3f4441cf-47cd-489b-a3bb-8036ba305529 To provide governments, enterprises, the investment ecosystem, and international organizations with a comprehensive, integrated Quantum-AI Governance Strategic Roadmap that addresses the full spectrum of governance challenges posed by the convergence of quantum computing and artificial intelligence, filling the critical gap left by fragmented, domain-specific governance efforts. 5bbd25d4-3cb3-41a6-8444-499430ee7be0 Trust Governance frameworks must establish and sustain trust among all stakeholders through transparency, accountability, and verifiable standards for Quantum-AI systems. Resilience Quantum-AI ecosystems must be designed and governed to withstand technical, cybersecurity, and geopolitical risks, including the threat of "Harvest Now, Decrypt Later" attacks and the long-term implications of superintelligence. Responsibility The development and deployment of quantum-AI technologies must be guided by ethical principles, human oversight, and accountability mechanisms that ensure benefits are broadly shared and risks are equitably managed. Integration Effective Quantum-AI governance requires moving beyond fragmented, siloed frameworks to integrated architectures that connect cryptographic security, institutional accountability, investment due diligence, and human oversight into coherent trust infrastructure. Cryptographic Security Establish robust cryptographic security foundations for Quantum-AI ecosystems by assessing existing vulnerabilities and migrating to post-quantum cryptography standards. 8a50b6c2-ac51-40c6-a8e7-526854603f94 1 Enterprises Organizations required to assess cryptographic inventory and execute migration to post-quantum cryptography to defend against "Harvest Now, Decrypt Later" threats. Governments Public sector bodies responsible for mandating and overseeing post-quantum cryptography migration across critical national infrastructure. Standards Bodies NIST and peer standards organizations providing the post-quantum cryptography standards to which systems must migrate. Cryptographic Inventory Prioritize cryptographic inventory and risk assessment across systems, identifying vulnerabilities to "Harvest Now, Decrypt Later" quantum attacks. 1ada5dd5-cc3f-44fb-a57e-f3d41a2fd20d 1.1 Enterprises Organizations conducting cryptographic inventory assessments to identify systems at risk from future quantum decryption capabilities. Post-Quantum Migration Migrate high-priority systems to post-quantum cryptography (PQC) aligned with NIST standards, beginning with the most sensitive and exposed systems. d5a0ee18-072a-4375-bd63-78b34bd60e21 1.2 Enterprises Organizations executing phased migration of systems to NIST-compliant post-quantum cryptographic standards. Standards Bodies NIST and peer bodies whose post-quantum cryptography standards define the migration targets. Quantum-AI Task Force Establish cross-functional organizational governance structures capable of managing the convergence of quantum computing and AI across technology, legal, ethical, and business dimensions. 57a244f9-0d64-4c26-9d69-262c2d6cc40d 2 Enterprises Organizations forming cross-functional Quantum-AI task forces spanning IT, AI, legal, compliance, and business leadership. Governments Public sector bodies establishing interagency coordination structures for Quantum-AI governance. Cross-Functional Governance Form a cross-functional Quantum-AI Task Force spanning IT, AI, legal, ethics, and business units to provide integrated organizational oversight of quantum-AI risks and opportunities. ccf7901f-9a88-4f87-979a-767950458255 2.1 Enterprises Organizations standing up cross-functional task forces to govern Quantum-AI adoption and risk. Ethics Board Establish an internal ethics board with SOX-style audit mechanisms to provide ongoing accountability for Quantum-AI governance decisions and outcomes. 7968e1e4-662c-49b1-a3fc-eef909fe74d6 2.2 Enterprises Organizations creating internal ethics boards with audit functions for Quantum-AI governance accountability. Investment Ecosystem Investors requiring evidence of ethical governance structures as part of Quantum-AI investment due diligence. Hybrid Infrastructure Leverage hybrid classical-quantum infrastructure through cloud quantum platforms to pilot, validate, and scale Quantum-AI capabilities responsibly. da3a6ba8-98ec-472a-a278-37a8e138112b 3 Enterprises Organizations deploying hybrid quantum-classical infrastructure pilots through cloud platforms including IBM, AWS, Azure, and Google. Governments Public sector bodies investing in hybrid quantum infrastructure to build sovereign capability and support national research programs. Cloud Quantum Pilots Leverage cloud quantum platforms — including IBM, AWS, Azure, and Google — to develop and validate hybrid quantum-AI pilot programs that demonstrate performance gains and governance feasibility. 5eb6aed0-bd5c-4114-8a7a-6764d5bb9b1a 3.1 Enterprises Organizations using cloud quantum platforms to run hybrid pilots and build internal Quantum-AI capability. Benchmarking Tools Build and deploy benchmarking tools to validate quantum-AI performance gains, enabling evidence-based investment and governance decisions. 59721ec8-7f22-4f8a-8614-62323a827c2a 3.2 Enterprises Organizations applying benchmarking tools to measure and validate quantum-AI performance improvements. Investment Ecosystem Investors using benchmarking evidence to assess quantum-AI claims and validate investment theses. Policy-as-Code Governance Implement real-time, automated governance mechanisms for Quantum-AI systems through Policy-as-Code approaches that enforce compliance continuously rather than episodically. 2e4c5b36-0221-4cc0-9fe2-2b21d22ac5de 4 Enterprises Organizations implementing Policy-as-Code infrastructure to automate real-time governance enforcement for AI and quantum systems. Governments Regulatory bodies exploring Policy-as-Code approaches to scalable, machine-enforceable Quantum-AI governance. Regulatory Alignment Align Quantum-AI governance implementations with NIST AI RMF, the EU AI Act, and applicable data sovereignty rules, ensuring that Policy-as-Code mechanisms reflect current and emerging regulatory requirements. e3c10c11-249a-4d13-b31a-0d4cc50492c3 4.1 Enterprises Organizations mapping their Quantum-AI governance controls to NIST, EU AI Act, and data sovereignty requirements. Standards Bodies NIST, the EU, and peer bodies whose frameworks define the regulatory targets for Quantum-AI governance alignment. Automated Compliance Implement Policy-as-Code mechanisms that enforce AI and quantum governance rules in real time, shifting compliance from manual audit cycles to continuous automated verification. 6be2c5b7-b1ed-432c-8df5-47c2e7703674 4.2 Enterprises Technology and compliance teams deploying Policy-as-Code to automate Quantum-AI governance enforcement. Governments Regulatory bodies adopting machine-enforceable governance standards for Quantum-AI systems. Quantum Literacy Build organizational and societal capacity for Quantum-AI governance through targeted education, workforce upskilling, and industry collaboration. bc38fb4d-966e-4621-b635-00052837191c 5 Enterprises Organizations investing in quantum literacy training and workforce upskilling to build internal Quantum-AI governance capability. Governments Public sector bodies funding quantum education programs and national workforce development initiatives. International Organizations Multilateral bodies supporting inclusive global quantum literacy to ensure equitable participation in Quantum-AI governance processes. Workforce Upskilling Invest in quantum literacy training and professional upskilling programs that equip organizational workforces to understand, govern, and operate Quantum-AI systems responsibly. 9683701a-2719-45b1-bd19-c31131d401e8 5.1 Enterprises Organizations funding and delivering internal Quantum-AI literacy and upskilling programs for their workforces. Consortia & Standards Engagement Engage actively in industry consortia and standards bodies to shape emerging Quantum-AI governance norms, technical standards, and best practices. 9afebd62-fdd6-4131-8e83-79ae3d0cd1db 5.2 Standards Bodies NIST, IEEE, ISO, and industry consortia through which governance norms and technical standards for Quantum-AI are shaped. Enterprises Organizations participating in consortia and standards processes to influence Quantum-AI governance frameworks. Adaptive Governance Sustain Quantum-AI governance effectiveness through phased metrics, budgeting, and regular review cycles that keep frameworks aligned with rapidly evolving technology and risk landscapes. 0f42d28e-706f-414a-b33f-67c8084f5d27 6 Enterprises Organizations implementing phased metrics, governance budgeting, and annual review cycles to sustain Quantum-AI governance effectiveness over time. Governments Public sector bodies establishing adaptive regulatory review processes to keep Quantum-AI governance frameworks current with technology evolution. International Organizations Multilateral bodies coordinating international review cycles to harmonize Quantum-AI governance frameworks across jurisdictions. Metrics & Budgeting Adopt phased metrics and dedicated budgeting frameworks for Quantum-AI governance roadmap tracking, enabling evidence-based progress assessment and resource allocation decisions. 53210ff8-f549-42a7-ab50-b42f3a3a0c1f 6.1 Enterprises Organizations applying phased metrics and governance budgeting to track and sustain Quantum-AI roadmap progress. Investment Ecosystem Investors using governance metrics and budget commitments as indicators of organizational Quantum-AI readiness. Annual Reviews Schedule annual governance reviews to assess Quantum-AI framework effectiveness, incorporate emerging risks and standards, and adapt roadmap priorities as technology evolves. 161c0001-9f8a-4ced-b743-8cf764043c44 6.2 Enterprises Organizations conducting annual Quantum-AI governance reviews to maintain framework relevance and effectiveness. Governments Regulatory bodies scheduling periodic reviews to update Quantum-AI governance requirements as technology and risk landscapes evolve. 2025-01-01 2026-06-16 https://stratml.us/docs/QAIG.xml Owen Ambur Owen.Ambur@verizon.net