Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...
Classiq 1.0 is designed for enterprise quantum R&D groups, algorithm developers, researchers and engineering teams that need to connect classical logic and constraints to quantum models and carry that ...
The final, formatted version of the article will be published soon. This work reports on a pilot study for optimizing the design of a fast neutron irradiation experiment in a thermal neutron spectrum, ...
Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially ...
Ra’anana, Israel, Feb. 05, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (“Rail Vision” or the “Company”), an early commercialization stage technology company seeking to revolutionize ...
Abstract: Transformers are essential components of electrical power systems, representing a significant capital investment and requiring optimized designs to balance efficiency, cost, and performance.
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
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