The quantum sector is shifting from speculative science to a commercial race, with hardware, software, and investment ...

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 ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

Introduction: Red yeast rice (RYR) is produced through solid-state fermentation by Monascus genus. Its functional component, Monacolin K (MK), has the same structure as lovastatin and can effectively ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Abstract: A wide range of real applications can be modelled as the multiobjective traveling salesman problem (MOTSP), one of typical combinatorial optimization problems. Meta-heuristics can be used to ...

Abstract: Test case optimization (TCO) reduces the software testing cost while preserving its effectiveness. However, to solve TCO problems for large-scale and complex software systems, substantial ...

This paper reviews a hybrid quantum-classical distributed algorithm for NP-hard combinatorial optimization problems, which is embedded in IBM Qiskit's Alternating Direction Method of Multipliers (ADMM ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...