New Optimization Methods Aim to Simplify Complex Tensor Networks
Researchers have developed Riemannian and joint optimization methods that reduce bond dimensions in tensor networks by formulating tensor disentangling as ...
Researchers have developed Riemannian and joint optimization methods that reduce bond dimensions in tensor networks by formulating tensor disentangling as ...
Version 2.0.1 of SpinGlassPEPS.jl consolidates a Julia tensor-network solver for Ising-like optimization into a single package while adding truncation diagnostics, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine