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From the 1 of 12 linked papers with an AI index.

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12 papers

quant-ph2026

Optimal Quantum Eigenvalue Transformation via Linear Combinations of Hermitian Matrices

Yanqiao Wang, Yixuan Liang, Hongjia Chen +1

The paper presents two complementary linear-combination-of-Hermitian-matrices (LCHM) frameworks for implementing general eigenvalue transformations of non‑normal matrices on quantu…

cs.LG2026

From Meta Idea to Advanced Mathematical Discovery -- Human-AI Co-Discovery of Sign-Embedding Quantum Algorithms

Yanqiao Wang, Jin-Peng Liu, Peng Li +1

AI-assisted mathematics is often evaluated on solving predefined problems. In practice, however, many important advances begin earlier, when a vague research intuition is transform…

quant-ph2026

Structure-Preserving Quantum Method of Lines for Evolutionary PDEs with Mixed Boundary Conditions

Yixuan Liang, Jin-Peng Liu

We give detailed analysis and circuit design of structure-preserving quantum algorithms for second-order linear evolutionary PDEs, including parabolic equations and hyperbolic equa…

quant-ph2026

Sign Embedding Quantum Algorithms for Matrix Equations and Matrix Functions

Yanqiao Wang, Jin-Peng Liu

We develop a systematic sign-embedding framework of operator-output quantum algorithms for matrix equations and matrix functions. Differing from the contour-integral treatment, we…

quant-ph2026

Quantum Algorithms for Gibbs Expectation of Non-log-concave and Heavy-tailed Distributions

Xinmiao Li, Jin-Peng Liu

We establish a systematic framework of unbiased quantum sampling and estimation protocols for the classical Gibbs expectation. This framework generalizes existing approaches to the…

quant-ph2026

Efficient Quantum Simulation for Nonlinear Stochastic Differential Equations

Xiangyu Li, Ahmet Burak Catli, Ho Kiat Lim +4

Nonlinear stochastic differential equations (NSDEs) are a pillar of mathematical modeling for scientific and engineering applications. Accurate and efficient simulation of large-sc…