Quantum AI workloads will benefit from the integration of quantum computers in data centers and high-performance computing ...
In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...
ByteDance’s drug discovery unit Anew Labs presented its first AI-designed therapy at a major immunology conference in Boston, showing a generative-AI-designed small molecule targeting IL-17, a protein ...
KAWASAKI, Japan--(BUSINESS WIRE)--Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary ...
COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced a technological breakthrough that demonstrates a new approach to scalable ...
Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...
Abstract: In this article, we propose a postprocessing variationally scheduled quantum algorithm (pVSQA) for solving constrained combinatorial optimization problems (COPs). COPs are typically ...
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...
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