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

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12 papers

cs.CV2026

Towards Sparsely Annotated Open-World Object Detection

HeeJu Han, AJeong Kim, Jinsun Park

Real-world object detection operates under ambiguous supervision, where unlabeled regions may correspond to missing annotations of known objects or genuinely unknown categories. Th…

quant-ph2026

PACE-QAOA: Physics-Constrained Quantum Optimization for Qubit-Efficient Power System Islanding

Yuqi Jiang, Zhiding Liang, Qiang Guan +2

Increasing renewable-energy penetration heightens power-system variability and complicates disturbance containment. Controlled islanding mitigates cascading failures by partitionin…

cs.ET2026

Unified Uncertainty Quantification Framework Bridging Noisy Quantum Backends Across Variational Quantum Algorithms and Quantum Signal Processing

Priyabrata Senapati, Vibin Abraham, Qiang Guan +1

The paper introduces a unified uncertainty quantification framework that benchmarks noisy quantum processors using both variational quantum algorithms and quantum signal processing…

cs.ET2026

Quantum Sampling Architecture for Protein Structure Reconstruction on Utility-Scale Hardware

Yuqi Zhang, Bo Fang, Yuxin Yang +6

Predicting the structure of short peptides in protein binding pockets remains difficult because this regime requires physics-based conformational search, yet existing methods do no…

cs.ET2026

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE

Yujun Feng, Yuqi Zhang, Jingyi Huang +4

The Variational Quantum Eigensolver (VQE) is essential for molecular simulation in drug discovery, but hardware noise and algorithmic limits restrict its precision. While the NVIDI…

quant-ph2026

REGRID-QAOA: A Resource-Efficient Hybrid QAOA Framework for Physics-Constrained Power System Islanding

Yuqi Jiang, Yuqi Zhang, Zhiding Liang +3

Quantum computing has rapidly emerged as a powerful paradigm for tackling computationally demanding problems. In particular, quantum optimization shows strong promise for hard comb…