Quantum Compiling with Reinforcement Learning on a Superconducting Processor.
Z. T. WangQiuhao ChenYuxuan DuZ. H. YangXiaoxia CaiKaixuan HuangJingning ZhangKai XuJun DuYinan LiYuling JiaoXingyao WuWu LiuXiliang LuHuikai XuYirong JinRuixia WangHaifeng YuS. P. ZhaoPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- magnetic field
- quantum computing
- markov decision processes
- quantum inspired
- high temperature
- high speed
- reinforcement learning algorithms
- function approximation
- quantum computation
- instruction set
- computer architecture
- learning algorithm
- multi agent
- model free
- channel capacity
- optimal control
- temporal difference
- optimal policy
- state space
- reinforcement learning methods
- quantum mechanics
- dynamic programming
- neural network
- parallel processing
- functional verification
- robotic control
- information retrieval
- industry standard
- logic circuits
- multi core processors
- temporal difference learning
- single chip
- function approximators
- learning problems