collaborators

7 papers

cs.CV2026

Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation

Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3

Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choice…

cs.NE2026

QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition

Zhiguo Qu, Keqi Li, Le Sun +4

Traffic sign recognition is crucial for intelligent transportation and autonomous driving, as it can improve driving efficiency and ensure road safety. However, traditional recogni…

quant-ph2026

Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation

Wenjing Xiao, Jiatai Yan, Chenglong Shi +5

With the advent of sixth-generation (6G) mobile communication technology, vehicle-to-everything (V2X) communication faces unprecedented challenges in communication efficiency, syst…

quant-ph2026

BARFI-Q: Quantum-Enhanced Block Attention Residual Fusion Framework for Multivariate Time-Series Forecasting in Atom Interferometry

Muhammad Bilal Akram Dastagir, Omer Tariq, Safaa Alqrinawi +3

Atom interferometry generates heterogeneous multivariate temporal streams governed by phase evolution, fringe dynamics, control variables, and auxiliary sensing measurements. Accur…

cs.IT2026

Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation

Yongtao Yao, Wenjing Xiao, Miaojiang Chen +5

In the context of quantum secure scenarios, existing research on mobile edge devices and intelligent computing and edge (ICE) systems based on the Non-Orthogonal Multiple Access (N…

cs.AI2026

QAROO: AI-Driven Online Task Offloading for Energy-Efficient and Sustainable MEC Networks

Yongtao Yao, Yao Yang, Haorui Shi +3

With the rapid advancement of artificial intelligence (AI) and intelligent science, intelligent edge computing has been widely adopted. However, the limitations of traditional meth…