Adaptive sampling-based optimization of quantics tensor trains for noisy functions: Applications to quantum simulations

Adaptive sampling-based optimization of quantics tensor trains for noisy functions: Applications to quantum simulations

Tensor cross interpolation (TCI) is a powerful technique for learning a tensor train (TT) by adaptively sampling a target tensor based on an interpolation formula. However, when the tensor evaluations contain random noise, optimizing the TT is more advantageous than interpolating the noise. Here, we...

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Bibliographic Details
Main Author: Kohtaroh Sakaue, Hiroshi Shinaoka, Rihito Sakurai
Format: Article
Language:English
Published: SciPost 2025-08-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.19.2.038
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