Hadi Salloum
МФТИ
- Quantum Computing Algorithms and Architecture
- Tensor decomposition and applications
- Quantum Information and Cryptography
- Service-Oriented Architecture and Web Services
- Generative Adversarial Networks and Image Synthesis
Чем занимается
Ключевые темы по публикациям: Quantum Computing Algorithms and Architecture; Tensor decomposition and applications; Quantum Information and Cryptography; Service-Oriented Architecture and Web Services; Generative Adversarial Networks and Image Synthesis.
Последние работы
Все 35 в OpenAlexComprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications2024 · аннотациясвернуть
Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward engineering and reward shaping, which…
- Integration of Machine Learning with Quantum Annealing2024
- Quantum Microservices: Transforming Software Architecture with Quantum Computing2024
Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets2025 · аннотациясвернуть
The Quantum Annealer built by D-Wave, known as Advantage, is currently the largest quantum computer in the world, featuring a topology called “Pegasus.” This groundbreaking system opens new possibilities for solving…
Mini-scale traffic flow optimization: an iterative QUBOs approach converting from hybrid solver to pure quantum processing unit2025 · аннотациясвернуть
Traffic congestion continues to pose a significant challenge in urban environments, necessitating innovative approaches to traffic management. This paper explores the application of Quantum Annealing (QA) for real-world…
- Higher-Order vs. Quadratic Binary Optimization: Which Is Better for Probability Optimization with Tensor Sampling?2026
- Neural Network Pruning via QUBO Optimization2026
- Diversity-Aware Adaptive Collocation for Physics-Informed Neural Networks via Sparse QUBO Optimization and Hybrid Coresets2026
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Шаблон письма
Здравствуйте, Hadi Salloum! Я студент(ка) [курс, факультет, вуз]. Мне интересна тема [опишите интересы своими словами]. Прочитал(а) вашу работу «Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications» (2024) — она близка к тому, чем я хочу заниматься. Хочу обсудить возможность выполнить научную работу под вашим руководством. Буду благодарен(на) за ответ — готов(а) рассказать о себе подробнее и прислать резюме. С уважением, [Имя Фамилия]
На этапе теста письмо отправляешь сам из своей почты. Отправка из сервиса и статусы заявок — скоро.