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, a couple of tech-giants have attempted new quantum circuits for machine learning tasks... (read more)

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