Basic protocols in quantum reinforcement learning with superconducting circuits.
Lucas LamataPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- quantum inspired
- magnetic field
- function approximation
- tunnel diode
- quantum mechanics
- reinforcement learning algorithms
- learning algorithm
- markov decision processes
- policy search
- mobile computing
- model free
- multi party
- action selection
- quantum computation
- robotic control
- dynamic programming
- optimal policy
- supervised learning
- delay insensitive
- state space
- reinforcement learning methods
- circuit design
- learning problems
- low power
- multi agent
- genetic algorithm
- multi agent reinforcement learning
- autonomous learning
- high speed
- communication protocols
- cryptographic protocols
- authentication protocol
- temporal difference
- transfer learning