Google научили ИИ-агентов находить новые квантовые алгоритмы и сразу доказывать их корректность и стоимость в Lean. Над этим работала как команда DeepMind, так и Quantum. Эта работа отличается от прошлых подходов, где ИИ-агенты проверяли квантовые схемы численным моделированием на классическом компьютере. Здесь же агенты работают с алгоритмами на тысячах кубитов, которые невозможно просимулировать классически, но при этом корректность гарантируется математическим доказательством, а не тестами. Интересно, что на 5 задачах, включая термоядерный синтез, фотохимию, ИИ нашёл схемы в 2.5–11 раз эффективнее лучших опубликованных решений, причём на тысячах кубитов там, где классическая проверка в принципе невозможна.
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Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
Read full article at Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean.
Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean. Both the DeepMind and Quantum teams worked on this. This work differs from past approaches where AI agents tested quantum circuits through numerical simulations...
AI Summary & Key Takeaways
- Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean
- Both the DeepMind and Quantum teams worked on this
- This work differs from past approaches where AI agents tested quantum circuits through numerical simulations...
Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean.
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