233 citations · 516 across the 26 of their papers we have counts for
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quant-ph2021★ 1 cited
ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms
Manuel S. Rudolph, Sukin Sim, Asad Raza +5
Variational Quantum Algorithms (VQAs) are promising candidates for finding practical applications of near to mid-term quantum computers. There has been an increasing effort to stud…
quant-ph2021★ 17 cited
Critical Points in Quantum Generative Models
Eric R. Anschuetz
One of the most important properties of neural networks is the clustering of local minima of the loss function near the global minimum, enabling efficient training. Though generati…
quant-ph2021★ 84 cited
Enhancing Generative Models via Quantum Correlations
Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang +2
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce…