
Explore approximation theory for linear temporal convolutional networks, examining forward and inverse approaches to enhance understanding of network behavior and capabilities.

Explore quantum algorithms for solving linear systems using polynomial approximations. Learn about LCU and QSVT techniques, and discover constant factor improvements in quantum linear algebra.