RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...
New spintronic hardware harnesses tunable randomness to solve complex optimisation problems faster and with less energy than ...
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
Abstract: The quadratic assignment problem (QAP) is a NP-hard combinatorial optimization problem. Genetic algorithm (GA) is one of the best algorithms to deal with such difficult problems. This paper ...
School of Power and Energy, Nanchang Hangkong University, Nanchang, China. China’s aviation industry, particularly its civil aviation sector, is undergoing rapid development, with the fleet of civil ...
In a breakthrough for high-performance and energy-efficient computing, researchers have demonstrated novel spintronics-based ...
Abstract: The Quadratic Assignment Problem (QAP) is a well-studied, NP-Hard combinatorial optimization problem with practical applications in timetabling, scheduling, logistics, circuit design and ...
LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie Mellon University related to computational experience with quantum annealing, performed ...
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