Quantum automated learning (QAL) trains quantum models by directly updating quantum states, offering an approach to quantum machine learning that avoids optimizing variational circuit parameters. However, post-selection constrains the probability of obtaining the final learned model. We develop a post-selection-free QA...
Impaired local perfusion, excessive oxidative stress, persistent inflammation, and apoptosis can compromise cutaneous wound healing. Licochalcone D (LCD), a licorice-derived flavonoid, has antioxidant and anti-inflammatory properties, but its effects on cutaneous repair remain incompletely characterized. This study eva...
Estimating time-accumulated observables, or dense outputs, is central to extracting classical information from quantum simulations. Whereas most quantum-simulation algorithms aim to reproduce a final state or a single-time expectation value, many applications require the integrated signal $J_H(O)=\int_0^T \langle \psi(...
Songqinghao Yang, Chang Liu, Jun-Kai Wang et al.· 0 citations
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