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 new tensor decomposition framework dynamically compresses and decompresses neural network layers during training, achieving 95.81 percent accuracy in 12 ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine