Optimizing Quantum Variational Circuits with Deep Reinforcement Learning.
Owen LockwoodPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- quantum inspired
- function approximation
- state space
- low power
- model free
- multi agent
- optimal policy
- machine learning
- tunnel diode
- image segmentation
- reinforcement learning algorithms
- learning process
- high speed
- learning algorithm
- robotic control
- quantum computation
- dynamic programming
- methods in computer vision
- analog vlsi
- exploration exploitation tradeoff
- delay insensitive
- temporal difference learning
- mobile computing
- learning problems
- markov decision processes
- channel capacity
- policy search
- analog circuits
- reinforcement learning methods
- deep learning
- markov decision process