Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Abstract: Generally, estimates are subject to errors. For a general linear data model, we study conditions for guaranteed error-free best linear unbiased estimation (BLUE) without prior information in ...