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dark-matter detection

topic1 events
papersTODAY 04:00 UTC

Study examines resources needed to learn bosonic Gaussian states

A revised arXiv preprint in machine learning looks at what resources are required to optimally learn bosonic Gaussian states. Such continuous-variable quantum states arise in applications including gravitational-wave and dark-matter detection. The abstract frames this as a fundamental question for continuous-variable quantum technologies spanning computation, communication, and sensing.

quantum-computing/research/arxiv/gaussian-states