RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
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Honeywell-backed Quantinuum just file...
Quantinuum Inc., the trapped-ion quantum computing company majority-owned by Honeywell, filed a Form S-1 registration statement with the U.S. Securities and Exchange Commission on May 8, 2026, firing ...
Abstract: Ant Colony Optimization (ACO) is a heuristic algorithm that has been widely used to solve combinatorial optimization problems. However, determining heuristic measures and initial pheromones ...
This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...
古典最適化器を用いることなく、任意の次数のバイナリ組合せ最適化問題を解く量子アルゴリズム SamBa-GQWの提案。グラフとして表現される解空間における連続時間量子ウォークをベースとし ...
Abstract: Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising ...
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