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quant-ph2024
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
Han-Xiao Tao, Jiaqi Hu, Re-Bing Wu
Quantum machine learning (QML) based on Noisy Intermediate-Scale Quantum (NISQ) devices hinges on the optimal utilization of limited quantum resources. While gate-based QML models…
quant-ph2022
Experimental Quantum End-to-End Learning on a Superconducting Processor
Xiaoxuan Pan, Xi Cao, Weiting Wang +10
Machine learning can be substantially powered by a quantum computer owing to its huge Hilbert space and inherent quantum parallelism. In the pursuit of quantum advantages for machi…