3 papers
quant-ph2025
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,…
cs.HC2025
Intuit: Explain Quantum Computing Concepts via AR-based Analogy
Manusha Karunathilaka, Shaolun Ruan, Lin-Ping Yuan +5
Quantum computing has shown great potential to revolutionize traditional computing and can provide an exponential speedup for a wide range of possible applications, attracting vari…
cs.HC2024
Which One Changes More? A Novel Radial Visualization for State Change Comparison
Shaolun Ruan, Yong Wang, Qiang Guan
It is common to compare state changes of multiple data items and identify which data items have changed more in various applications (e.g., annual GDP growth of different countries…