6 citations · 6 across the 1 of their papers we have counts for
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Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
Jin-Guo Liu, Liang Mao, Pan Zhang +1
We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks. The combined model parametrizes a variational density matrix as a…
Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang +1
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design. Yao features generic and differentiable programming of quantum circuits. It achieves…
Learning and Inference on Generative Adversarial Quantum Circuits
Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu +2
Quantum mechanics is inherently probabilistic in light of Born's rule. Using quantum circuits as probabilistic generative models for classical data exploits their superior expressi…
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang
Quantum circuit Born machines are generative models which represent the probability distribution of classical dataset as quantum pure states. Computational complexity consideration…