Quantum-Inspired Optimizers Fail a Rigorous Cross-Domain Machine Learning Benchmark
A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.
A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.
A prediction engine that never touches raw patient data has delivered one of the highest accuracy figures yet reported for ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine