Case Study : Floquet Deep Learning Optimiser (DLO) combined with the Moku Go multi-instrument system to auto-align Optical Cavity systems

Establishing suitable control settings for both laboratory and/or industrial equipment is a critical part of ensuring their ability to consistently function as intended. The DLO  allows this to be completed in an highly-automated manner particularly in cases where :-

• The target system operates restrictively under a sparse sampling constraint
• Where it is monetarily expensive to acquire sample data
• High dimensionality environments
• The target system runs in a cycle and may be automated
• Hard parameter bounds exist, precluding many traditional learning algorithms