Sample complexity bounds and algorithms for learning bosonic Gaussian quantum states. Use when: (1) analyzing sample requirements for quantum state tomography, (2) designing efficient measurement strategies for Gaussian states, (3) computing sample complexity lower/upper bounds for continuous-variable systems, (4) determining when non-Gaussian measurements are required, (5) optimizing adaptive mea
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Type: Agent skill (SKILL.md) · Category: Science, Health & Education · Source: https://github.com/hiyenwong/ai_collection/tree/HEAD/collection/skills/ai-ml/sam
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