kmp5VT / kmp5VT/ITensorCPD.jl

Randomized algorithms are not compatible with tensor network decomposition

Open
#34 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Julia
Stars
7
Forks
2
PR merge metrics
No merged PRs in 30d

Description

Randomized algorithms require sampling through tensor networks which is, in general, not currently available. According to the ITensorNetworks team this should be possible using their code in the near future.

Contributor guide

No contributing guide indexed for this repository

Research direction

Review the issue's description of sampling through tensor networks and investigate the ITensorNetworks team's referenced code for the planned capability. Determine how randomized algorithms should use tensor-network sampling, then define completion as working support for those algorithms; the issue names no files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
hpc
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.