69 citations · 193 across the 43 of their papers we have counts for
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Quantum-Inspired Classical Algorithm for Slow Feature Analysis
Daniel Chen, Yekun Xu, Betis Baheri +5
Recently, there has been a surge of interest for quantum computation for its ability to exponentially speed up algorithms, including machine learning algorithms. However, Tang sugg…
A Hybrid System for Learning Classical Data in Quantum States
Samuel A. Stein, Ryan L'Abbate, Wenrui Mu +6
Deep neural network powered artificial intelligence has rapidly changed our daily life with various applications. However, as one of the essential steps of deep neural networks, tr…
QuGAN: A Quantum State Fidelity based Generative Adversarial Network
Samuel A. Stein, Betis Baheri, Daniel Chen +5
Tremendous progress has been witnessed in artificial intelligence where neural network backed deep learning systems have been used, with applications in almost every domain. As a r…
QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation
Ang Li, Samuel Stein, Sriram Krishnamoorthy +1
The rapid development of quantum computing (QC) in the NISQ era urgently demands a low-level benchmark suite and insightful evaluation metrics for characterizing the properties of…