Quantum annealing outperforms gate-based machines in lung cancer prediction from tiny training sets
A cross-platform quantum machine learning study trained classifiers on only 108 patient records and found that a D-Wave annealing-based QSVM ...
A cross-platform quantum machine learning study trained classifiers on only 108 patient records and found that a D-Wave annealing-based QSVM ...
A hybrid framework combining quantum-annealing-based feature selection with PCA reduced carbon-emissions prediction errors by 4 to 7 percent compared with ...
A new open-source tool automates the search for compact, exact algebraic descriptions of cipher S-boxes, sharply reducing the variable counts ...
Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...
A stabilized, distributed GPU exhaustive-search plugin for Ising and QUBO problems now certifies true global optima up to 60 spins, ...
Researchers have developed DDQAOA, a quantum optimization algorithm that automatically grows its own circuit depth and matches deep fixed-depth QAOA ...
Researchers have developed a preprocessing framework that reduces arbitrary-order Ising-like Hamiltonians, shrinking combinatorial optimization problems before they are handed to ...
Researchers have shown that quantum annealers can train variational quantum algorithms by recasting parameter optimization as a QUBO problem, achieving ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine