3 citations · 6 across the 14 of their papers we have counts for
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Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization
Shaolun Ruan, Feng Liang, Rohan Ramakrishna +5
Quantum Neural Networks (QNNs) represent a promising fusion of quantum computing and neural network architectures, offering speed-ups and efficient processing of high-dimensional,…
QuantumEyes: Towards Better Interpretability of Quantum Circuits
Shaolun Ruan, Qiang Guan, Paul Griffin +2
Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across vari…
VENUS: A Geometrical Representation for Quantum State Visualization
Shaolun Ruan, Ribo Yuan, Qiang Guan +6
Visualizations have played a crucial role in helping quantum computing users explore quantum states in various quantum computing applications. Among them, Bloch Sphere is the widel…
VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing
Shaolun Ruan, Yong Wang, Weiwen Jiang +2
Quantum computing has attracted considerable public attention due to its exponential speedup over classical computing. Despite its advantages, today's quantum computers intrinsical…