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19992026
most citedA Comprehensive Survey on Graph Neural Networks

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quant-ph2026

Localized Covariant Quantities Appear To Underlie Quantum Circuits

Ken Wharton, Roderick Sutherland, Titus Amza +1

Although entangled state vectors cannot be fully described in terms of variables localized in space and time, any given entanglement experiment can be built from basic quantum circ…

quant-ph2026

Verifying Adversarial Robustness in Quantum Machine Learning: from theory to physical validation via a software tool

Ji Guan, Mingsheng Ying

As with classical neural networks, quantum machine learning (QML) models are vulnerable to small input perturbations that can significantly alter output predictions. Certifying the…

quant-ph2026

QSeqSim: A Symbolic Simulator for Qiskit While Loops Using Sequential Quantum Circuits

Zihao Li, Ji Guan, Mingsheng Ying

We present a tool QSeqSim, a Qiskit-integrated symbolic backend that fills the current gap of having no Qiskit-native support for simulating while-loop quantum programs and their i…

quant-ph2026

Quantum Data Structure for Range Minimum Query

Qisheng Wang, Zhean Xu, Zhicheng Zhang

Given an array , the Range Minimum Query (RMQ) problem is to maintain a data structure that supports RMQ queries: given a range , find the index of the minimum ele…

quant-ph2026

Efficient Algorithms for Weakly-Interacting Quantum Spin Systems

Ryan L. Mann, Gabriel Waite

We establish efficient algorithms for weakly-interacting quantum spin systems at arbitrary temperature. In particular, we obtain a fully polynomial-time approximation scheme for th…