Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning.
Meriam Gay BautistaZhi Jackie YaoAnastasiia ButkoMariam KiranMekena MetcalfPublished in: ISVLSI (2021)
Keyphrases
- reinforcement learning
- high speed
- semi automated
- function approximation
- focal length
- learning algorithm
- model free
- machine learning
- analog circuits
- fully automated
- computer aided
- markov decision processes
- electronic circuits
- policy search
- high temperature
- multi agent reinforcement learning
- delay insensitive
- neural network
- analog vlsi
- gaze estimation
- circuit design
- intrinsic parameters
- deep learning
- automated analysis
- action selection
- magnetic field
- optimal control
- optimal policy
- low cost
- dynamic programming
- control system