References & Citations
Quantum Physics
Title: EinExprs: Contraction Paths of Tensor Networks as Symbolic Expressions
(Submitted on 26 Mar 2024)
Abstract: Tensor Networks are graph representations of summation expressions in which vertices represent tensors and edges represent tensor indices or vector spaces. In this work, we present EinExprs.jl, a Julia package for contraction path optimization that offers state-of-art optimizers. We propose a representation of the contraction path of a Tensor Network based on symbolic expressions. Using this package the user may choose among a collection of different methods such as Greedy algorithms, or an approach based on the hypergraph partitioning problem. We benchmark this library with examples obtained from the simulation of Random Quantum Circuits (RQC), a well known example where Tensor Networks provide state-of-the-art methods.
Submission history
From: Sergio Sánchez-Ramírez [view email][v1] Tue, 26 Mar 2024 18:38:00 GMT (1166kb,D)
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