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2025 ICML ICML 2025

Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Manwen Liao, Yan Zhu, Weitian Zhang, Yuxiang Yang

Topics

Artificial Intelligence > Core AI > Interpretability Deep Learning > Architectures > Transformers Reinforcement Learning > Methods > Deep RL

Keywords

reinforcement learning transformer explicit representation local fidelity reward quantum state characterization surrogate state preparation circuits
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