  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.
