Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures.
Enrico RussoMaurizio PalesiDavide PattiGiuseppe AsciaVincenzo CataniaPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- resource allocation
- markov decision processes
- function approximation
- state space
- reinforcement learning algorithms
- optimal control
- autonomous mental development
- quantum computing
- optimal allocation
- machine learning
- dynamic programming
- learning algorithm
- visual attention
- learning problems
- monte carlo
- model free
- temporal difference
- optimal policy
- markov decision process
- mobile robot
- quantum mechanics
- allocation strategy
- dynamic allocation
- allocation problems
- quantum computation