In quantum machine learning, training a quantum model requires each sample to be prepared as a quantum state by a loading circuit that must be re-executed for every shot at every training step. The total burden therefore scales with both the number of samples and the cost of preparation. Existing approaches reduce the...
This work proposes a novel structure-revealing TN paradigm, termed SVD-inspired TN decomposition (SVDinsTN), which enables the formulation of an energy function that simultaneously considers representation error and TN structure complexity, facilitating the joint optimization of data representation and the identificati...
Yu-Bang Zheng, Xi-Le Zhao, Heng-Chao Li et al.· IEEE Transactions on Pattern...· 0 citations
A large graph is often available only in part: a crawl stopped by its budget, a panel, a partial dump. When the sampled fraction $s$ is known by design the total edge count follows from $\hat e=e_s/s^2$ and no model is needed. We treat the case where $s$ is unknown and the population size is known. Our main result is a...
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
Background Opioid-free anesthesia (OFA) has been proposed to reduce opioid-related adverse effects, although its impact on overall postoperative recovery remains uncertain. We evaluated whether OFA improves postoperative quality of recovery compared with opioid-based anesthesia (OA) in elderly patients undergoing lapar...
Qianchuan Zhao, Yang Wang, Fujian Huang et al.· Frontiers in Medicine· 0 citations
A robust non-parametric Bayesian method known as the Bayesian adaptive tensor ring decomposition (BATR) method, which accomplishes an adaptive low tensor ring (TR) rank model by incorporating a more advanced generalized hyperbolic (GH) prior into the probabilistic framework, thereby facilitating automatic TR rank deter...
A PAC-Bayesian account in which quantum policy design is reframe around an entanglement--generalization trade-off rather than expressivity alone is given, where entangled circuits consistently generalize worse than non-entangled circuits of equal parameter count.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
The contribution is accordingly not a better estimator but a characterization of \emph{when prior-based correction is justified}, plus designs that supply the missing information when it is not, plus designs that supply the missing information when it is not.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
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