AI RESEARCH
Towards sample-optimal learning of bosonic Gaussian quantum states
arXiv CS.LG
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ArXi:2603.18136v1 Announce Type: cross Continuous-variable systems enable key quantum technologies in computation, communication, and sensing. Bosonic Gaussian states emerge naturally in various such applications, including gravitational-wave and dark-matter detection. A fundamental question is how to characterize an unknown bosonic Gaussian state from as few samples as possible. Despite decades-long exploration, the ultimate efficiency limit remains unclear.