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Graph Neural Networks Enhance Quantum Architecture Search and Wireless Systems

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 3 sources

Researchers have developed a novel Graph Neural Network (GNN) approach for optimizing spectral and energy efficiency in multi-base station systems with reconfigurable intelligent surfaces. Separately, a new magic-informed quantum architecture search technique, inspired by AlphaGo and utilizing a GNN, aims to control quantum resources for improved circuit design. AI

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

IMPACT These papers explore novel applications of GNNs in specialized domains, potentially influencing future research in communication efficiency and quantum computing.

RANK_REASON Two distinct research papers published on arXiv, one on GNNs for communication systems and another on GNNs for quantum architecture search.

Read on arXiv cs.AI →

COVERAGE [3]

  1. arXiv cs.AI TIER_1 · Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis, Mark H. M. Winands ·

    Magic-Informed Quantum Architecture Search

    arXiv:2605.03932v1 Announce Type: cross Abstract: Nonstabilizerness, commonly referred to as magic, is a fundamental resource underpinning quantum advantage. In this paper, we propose a magic-informed quantum architecture search (QAS) technique that enables control over a quantum…

  2. arXiv cs.AI TIER_1 · Changpeng He, Yang Lu, Wei Chen, Bo Ai, Arumugam Nallanathan, Zhiguo Ding ·

    Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach

    arXiv:2605.01307v1 Announce Type: cross Abstract: This paper investigates coordinated downlink transmission in a multi-base station (multi-BS) multi-reconfigurable intelligent surface (multi-RIS)-assisted pinching-antenna (PA) system, where each user equipment (UE) is associated …

  3. arXiv cs.AI TIER_1 · Mark H. M. Winands ·

    Magic-Informed Quantum Architecture Search

    Nonstabilizerness, commonly referred to as magic, is a fundamental resource underpinning quantum advantage. In this paper, we propose a magic-informed quantum architecture search (QAS) technique that enables control over a quantum resource within the general framework of circuit …

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