Optimizing Quantum Reversible Circuits Using Reinforcement Learning.
Sheng YangGuan-Ju PengPublished in: TrustCom (2023)
Keyphrases
- reinforcement learning
- quantum computing
- logic circuits
- logic synthesis
- function approximation
- low power
- state space
- markov chain
- quantum evolutionary algorithm
- quantum inspired
- cellular automata
- machine learning
- quantum mechanics
- reinforcement learning algorithms
- robotic control
- high speed
- exploration exploitation tradeoff
- multi agent
- quantum computation
- tunnel diode
- delay insensitive
- learning algorithm
- autonomous learning
- policy search
- power reduction
- asynchronous circuits
- reinforcement learning methods
- markov decision process
- reward function
- temporal difference
- markov decision processes
- monte carlo
- optimal policy
- learning process