Introduces MoM and ToM adaptive tensor regression with SGD for online streaming matrix prediction and fixed-time recovery guarantees under sparsity and low-rank structures.
A scalable factorization approach for high-order structured tensor recovery.arXiv preprint arXiv:2506.16032, 2025
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.
A survey of structured quantum state tomography covering compact representations, measurement design, and optimization algorithms, connected to compressive sensing for sample efficiency.
citing papers explorer
-
Structured Adaptive Tensor Prediction for Streaming Data
Introduces MoM and ToM adaptive tensor regression with SGD for online streaming matrix prediction and fixed-time recovery guarantees under sparsity and low-rank structures.
-
Geometric Analysis of Variational Quantum Eigensolver
Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.
-
Statistical and Algorithmic Foundations of Probing Quantum Systems with Compressive Measurements: A Review
A survey of structured quantum state tomography covering compact representations, measurement design, and optimization algorithms, connected to compressive sensing for sample efficiency.