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quant-ph2023★ 1 cited
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Jinyang Li, Zhepeng Wang, Zhirui Hu +3
Quantum computing presents a promising approach for machine learning with its capability for extremely parallel computation in high-dimension through superposition and entanglement…
quant-ph2023
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network
Zhirui Hu, Youzuo Lin, Qiang Guan +1
Recently, we have been witnessing the scale-up of superconducting quantum computers; however, the noise of quantum bits (qubits) is still an obstacle for real-world applications to…
quant-ph2023★ 1 cited
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
Zhepeng Wang, Jinyang Li, Zhirui Hu +3
Security has always been a critical issue in machine learning (ML) applications. Due to the high cost of model training -- such as collecting relevant samples, labeling data, and c…