Innovation, Quantum-AI Technology & Law

Blog over Kunstmatige Intelligentie, Quantum, Deep Learning, Blockchain en Big Data Law

Blog over juridische, sociale, ethische en policy aspecten van Kunstmatige Intelligentie, Quantum Computing, Sensing & Communication, Augmented Reality en Robotica, Big Data Wetgeving en Machine Learning Regelgeving. Kennisartikelen inzake de EU AI Act, de Data Governance Act, cloud computing, algoritmes, privacy, virtual reality, blockchain, robotlaw, smart contracts, informatierecht, ICT contracten, online platforms, apps en tools. Europese regels, auteursrecht, chipsrecht, databankrechten en juridische diensten AI recht.

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Statute-Led Quantum Governance: A Legislative Blueprint for the United States

On June 22, 2026, the White House signed two quantum executive orders in one afternoon: a national push toward a science-enabling quantum computer, and an accelerated federal migration to post-quantum cryptography. The orders are far-reaching and structurally fragile. A later administration can amend or revoke executive action far more easily than Congress can repeal a statute, and executive action cannot appropriate a dollar or settle the values by which quantum technology will be governed. That work belongs to Congress.

What Congress has in motion in 2026 and why it is still revocable

The 2026 federal landscape is busy and brittle. The National Quantum Initiative reauthorization is moving through both chambers after its predecessor died with the 118th Congress, a $2.5 billion Department of Energy quantum bill waits alongside it, and export controls on quantum computing arrived by interim rule in 2024. Every instrument is revocable, expirable, or reversible. The United States has quantum legislation in the National Quantum Initiative Act and still lacks a comprehensive quantum statute. Governing by summit communiqué instead of binding rule is a wider habit, as our analysis From Kananaskis to Évian shows for the G7.

Why statutes serve foundational technologies better than accreted guidance

Foundational technologies mature on timescales longer than administrations, cut across agency jurisdictions, and allocate power in ways that deserve democratic sanction. The artificial intelligence precedent is cautionary: congressional silence produced a state patchwork in which Colorado's pioneering AI statute was rewritten before it ever took effect. A quantum statute with values-based guardrails, from risk tiers to trials pathways and access equity, is innovation policy in its own right. It gives investors, allies, and the public reasons to trust the ecosystem being built.

The eight-part blueprint for a United States quantum act

The full analysis lays out an eight-part legislative blueprint: capability-based definitions that survive hardware generations, risk-tiered obligations, statutory post-quantum cryptography deadlines, a standing standards mandate for NIST, regulatory sandboxes, calibrated research security, national quantum-advantage missions with a software institute, and workforce plus allied coordination. It merges the reauthorization bills, the DOE act, and the executive orders into one coherent act of Congress.

Europe's Quantum Act proposal is expected in 2026, and the EU has made statute-led governance its brand, from the AI Act's risk tiers to the Quantum Europe Strategy. America's answer should be transatlantic interoperability: shared risk concepts, mutual recognition, aligned export regimes. The reauthorization vehicles moving through both chambers this session give Congress a rare moment when legislative ambition costs little more than drafting. Read the full analysis for the blueprint and the case for using that moment.

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What are the main requirements for AI systems in Healthcare?

Main barriers to adoptation of Artificial Intelligence in healthcare.

Absence of a specific AI law, or clear legal framework from the perspective of both professional users (A) and patients (B).

When constructing such a framework, it is important to make a distinction between the various sub-areas of healthcare, such as research and development, professional care providers and recipients of care. Because each sub-area has different needs.

Barriers for professional users.

It is simply unclear for companies and private and academic research institutes in the medical sector what is and is not allowed in the field of AI, blockchain, computer & machine vision and robotics. Both at European level and at national level. This knowledge is important for the commodification of their inventions/creations. Two practical examples are permission from Farmatec and obtaining a CE-marking.

Requirements for sustained use of AI in healthcare.

Since traceability and transparency are key within any healthcare (and food-feed) system, blockchain could play an important role in sustained use of AI in healthcare.

A EU AI Directive or Regulation should be able to implement and/or adhere to principles of Eudralex (The body of European Union legislation in the pharmaceutical sector), Good Manufacturing Practices (GMP) and Good Distribution Practices (GDP) in particular.

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