Bayesian Searches and Quantum Oscillators

Understand

A new LLNL Strategic Initiative is focused on developing improved methods for Bayesian inference when the input data depends on hidden parameters.

• Part of this effort involves investigating the idea of using an array of quantum oscillators (viz microwave cavities) as an analog computer for implementing Bayesian model selection.
• The practical motivations are twofold: 1) Bayesian model selection problems are often intractable using conventional digital computers, and 2) quantum information processing may allow detection of weak analog signals below the usual quantum noise threshold.