Quantum Cryptography, Cybersecurity

ANSSI leads G7 push for quantum-resistant encryption

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September 3, 2026 by Ivy Delaney

France’s 2026 G7 Presidency is spearheading an international effort to prepare for threats to digital security, with France’s Cybersecurity Agency, ANSSI, leading the G7 Cybersecurity Working Group. Building on work initiated during Canada’s 2025 G7 Presidency, the group recently released the “G7 Cybersecurity Working Group Statement on Preparing for a Post-Quantum Cryptography Migration,” offering practical recommendations for technical leaders within organizations. The statement asserts that transitioning to post-quantum cryptography is a critical security issue requiring collective and coordinated effort, urging public and private sectors to act now and prepare for this essential shift.

ANSSI Leads G7 Coordination for Post-Quantum Cryptography Transition

France’s 2026 G7 Presidency, through ANSSI, is broadening international collaboration on post-quantum cryptography, expanding on the foundations laid during Canada’s 2025 leadership. ANSSI currently coordinates the G7 Cybersecurity Working Group, which includes national cybersecurity agencies and the European Commission alongside ENISA, to accelerate preparations for potential decryption threats from quantum computing. This coordinated approach emphasizes practical recommendations for organizations to begin planning and implementing a transition to quantum-resistant algorithms, recognizing that current encryption methods could become vulnerable. This sustained, multi-year focus demonstrates a commitment to proactive cybersecurity measures against emerging quantum computing capabilities.

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crypto-agility Cybersecurity post-quantum cryptography
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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