2 papers
quant-ph2025
Realizing Universal Non-Markovian Noise Suppression
Hongfeng Liu, Zizhao Han, Xinfang Nie +2
Non-Markovian noise, arising from environmental memory effects, is the most general and challenging form of noise in quantum computing, and is typically difficult to characterize a…
quant-ph2025
Quantum automated learning with provable and explainable trainability
Qi Ye, Shuangyue Geng, Zizhao Han +3
Machine learning is widely believed to be one of the most promising practical applications of quantum computing. Existing quantum machine learning schemes typically employ a quantu…