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Google Research

A new deep learning model maps global methane emissions from space. Our new contrail avoidance trial in Asia-Pacific 5 amazing visuals show how the male fruit fly’s brain map is advancing neuroscience Ask a Scientist: How do researchers use AI to predict a cyclone? Ask a Scientist: How can researchers use AI to predict a flood? Operation Blue Skies: Reducing aviation climate impact with AI AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study. Our WeatherNext 2 AI model demonstrated a massive leap forward in predicting cyclones. Understanding the AI economy How governments and organizations are leveraging Google’s AI breakthroughs for crisis resilience Three new satellites join the fight against wildfires. The latest AI news we announced in June 2026 Towards a world where no one is surprised by a natural disaster New research shows how AMIE, our medical AI, could help manage health conditions. 4 ways researchers are collaborating with Co-Scientist to solve big problems The latest AI news we announced in May 2026 A new experiment brings better group meetings to Google Beam Gemini for Science: AI experiments and tools for a new era of discovery Evolving expectations of what’s possible Building superconducting and neutral atom quantum computers Our new study explores how AI can reduce the climate impact of air travel. Broadening advanced AI education across Africa Groundsource: using AI to help communities better predict natural disasters Honoring the art of the possible this International Women’s Day How our open-source AI model SpeciesNet is helping to promote wildlife conservation The latest AI news we announced in February The quantum era is coming. Are we ready to secure it? Natively Adaptive Interfaces: A new framework for AI accessibility How we’re helping preserve the genetic information of endangered species with AI We’re announcing the 12 recipients of our AI for Science fund
Quantum frontiers may be closer than they appear
Heather Adkins · 2026-03-25 · via Google Research

We're setting a timeline for post-quantum cryptography migration to 2029.

Sophie Schmieg

Senior Staff Cryptography Engineer

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Google’s introducing a 2029 timeline to secure the quantum era with post-quantum cryptography (PQC) migration.

Last month, we called to secure the quantum era before a future quantum computer can break current encryption. This new timeline reflects migration needs for the PQC era in light of progress on quantum computing hardware development, quantum error correction, and quantum factoring resource estimates.

As a pioneer in both quantum and PQC, it’s our responsibility to lead by example and share an ambitious timeline. By doing this, we hope to provide the clarity and urgency needed to accelerate digital transitions not only for Google, but also across the industry.

Quantum computers will pose a significant threat to current cryptographic standards, and specifically to encryption and digital signatures. The threat to encryption is relevant today with store-now-decrypt-later attacks, while digital signatures are a future threat that require the transition to PQC prior to a Cryptographically Relevant Quantum Computer (CRQC). That’s why we’ve adjusted our threat model to prioritize PQC migration for authentication services — an important component of online security and digital signature migrations. We recommend that other engineering teams follow suit.

As an example of our ongoing PQC commitments, Android 17 is integrating PQC digital signature protection using ML-DSA in alignment with the National Institute of Standards and Technology (NIST). This continues to put advanced PQC technology directly into the hands of our customers, building on our Google Chrome support for PQC, providing PQC solutions in Cloud and insights and guidance for leaders on their PQC Journey.

Stay tuned for more updates on our PQC transition.

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