High Curie temperature and high hole mobility in diluted magnetic semiconductors (B, Mn)X (X = N, P, As, Sb)

Kavli Affiliate: Gang Su | First 5 Authors: Xiang Li, Jia-Wen Li, Jing-Yang You, Gang Su, Bo Gu | Summary: Doping nonmagnetic semiconductors with magnetic impurities is a feasible way to obtain diluted magnetic semiconductors (DMSs). It is generally accepted that for the most extensively studied DMS, (Ga, Mn)As, its highest Curie temperature T$_{text{C}}$ was […]


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Tensor networks for interpretable and efficient quantum-inspired machine learning

Kavli Affiliate: Gang Su | First 5 Authors: Shi-Ju Ran, Gang Su, , , | Summary: It is a critical challenge to simultaneously gain high interpretability and efficiency with the current schemes of deep machine learning (ML). Tensor network (TN), which is a well-established mathematical tool originating from quantum mechanics, has shown its unique advantages […]


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Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: In this paper, we present a multi-agent deep reinforcement learning (deep RL) framework for network slicing in a dynamic environment with multiple base stations and multiple users. In particular, we propose a novel deep RL framework with […]


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