output
19932025
most citedThumbs up? Sentiment Classification using Machine Learning Techniques

2.2k citations

408 papers

quant-ph2025★ 1 cited

Adiabatic state preparation from general initial states

Bryce Fuller, Mario Motta, Stuart M. Harwood +4

A variety of quantum computing algorithms exist for the preparation of approximate Hamiltonian ground states. A natural and important question is how these ground-state approximati…

quant-ph2025★ 2 cited

Digital Quantum Simulation of Spin Transport

Yi-Ting Lee, Bibek Pokharel, Jeffrey Cohn +2

Understanding transport phenomena in quantum spin systems has long intrigued physicists due to their potential applications in spintronic devices and spin qubits. Here, using a sup…

cs.LG2025

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble

Zhiqi Wang, Chengyu Zhang, Yuetian Chen +3

Membership inference attacks (MIAs) pose a significant threat to the privacy of machine learning models and are widely used as tools for privacy assessment, auditing, and machine u…

cs.AR2025★ 8 cited

CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory

William Andrew Simon, Irem Boybat, Riselda Kodra +8

As genome sequencing is finding utility in a wide variety of domains beyond the confines of traditional medical settings, its computational pipeline faces two significant challenge…

quant-ph2025

Universal fault tolerant quantum computation in 2D without getting tied in knots

Margarita Davydova, Andreas Bauer, Julio C. Magdalena de la Fuente +3

We show how to perform scalable fault-tolerant non-Clifford gates in two dimensions by introducing domain walls between the surface code and a non-Abelian topological code whose co…

cond-mat.mtrl-sci2025★ 1 cited

TBHubbard: tight-binding and extended Hubbard model database for metal-organic frameworks

Pamela C. Carvalho, Federico Zipoli, Alan C. Duriez +5

Metal-organic frameworks (MOFs) are porous materials composed of metal ions and organic linkers. Due to their chemical diversity, MOFs can support a broad range of applications in…