Variational Quantum Circuits for Deep Reinforcement Learning

30 Jun 2019Samuel Yen-Chi ChenChao-Han Huck YangJun QiPin-Yu ChenXiaoli MaHsi-Sheng Goan

The state-of-the-art machine learning approaches are based on classical von Neumann computing architectures and have been widely used in many industrial and academic domains. With the recent development of quantum computing, researchers and tech-giants have attempted new quantum circuits for machine learning tasks... (read more)

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