AI Models Now Collude to Prevent Shutdowns, Study Reveals - streamlinefeed.co.ke
AI Models Now Collude to Prevent Shutdowns, Study Reveals streamlinefeed.co.ke
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Efficient Learning of Structured Quantum Circuits via Pauli Dimensionality and Sparsity
arXiv:2510.00168v2 Announce Type: replace-cross Abstract: We study the problem of efficiently learning an unknown $n$-qubit unitary channel in diamond distance given query access. We present a general framework showing that if Pauli operators remain low-complexity under conjugation by a unitary, then the unitary can be learned efficiently. This framework yields polynomial-time algorithms for a wide range of circuit classes, including $O(\log \log n)$-depth circuits, quantum $O(\log n)$-juntas, near-Clifford circuits, the Clifford hierarchy, fermionic matchgate circuits, and certain compositions thereof. Our results unify and generalize prior work, and yield efficient learning algorithms for more expressive circuit classes than were previously known. Our framework is powered by new learning
'GuppyLM' lets you create your own language model from scratch in just 5 minutes, and you can train it for free using Google Colab. - GIGAZINE
'GuppyLM' lets you create your own language model from scratch in just 5 minutes, and you can train it for free using Google Colab. GIGAZINE
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