Quantum Wasserstein Generative Adversarial Networks

1 code implementation • NeurIPS 2019 • Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu

The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines.

Quantum Laplacian Eigenmap

no code implementations • 2 Nov 2016 • Yiming Huang, Xiaoyu Li

While classical Laplacian eigenmap algorithm requires polynomial time to solve the eigenvector problem, our algorithm is able to exponentially speed up nonlinear dimensionality reduction.

Dimensionality Reduction