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.HC2022
Visilence: An Interactive Visualization Tool for Error Resilience Analysis
Shaolun Ruan, Yong Wang, Qiang Guan
Soft errors have become one of the major concerns for HPC applications, as those errors can result in seriously corrupted outcomes, such as silent data corruptions (SDCs). Prior st…