tensorflow / tensorflow/quantum

[Discussion] Dataset integrations

Open
#277 9 comments 0 reactions 1 assignee View on GitHub

@MichaelBroughton is already working on this.

Since Jun 23, 2020.

help wanted kind/feature-request priority/review status/needs-design
Dominant language
Python
Stars
2.2k
Forks
665
PR merge metrics
No merged PRs in 30d

Description

We recently had our first outside contributor add to TFQ datasets. Big thanks @therooler and the rest of the U of T folks! Now that we have our first example in place, let's use this issue to plan out the new datasets we want to add in an open discussion. To my knowledge these sorts of things were up for discussion (correct me if I'm wrong @therooler ) :

  1. 1d TFI chain
  2. 2d TFI grid
  3. TFI on a star
  4. XY model on chain (Mentioned in meeting, but I'm not 100% on this) ?
  5. XY model on grid (Mentioned in meeting, but I'm not 100% on this) ?

Other talking points:

  1. What sorts of other spin system style models do we want ? (AKT, XYZ, XZX etc. )
  2. What sorts of properties should we incorporate as dataset labels ? (paramagnetic, paramagnetic, ground state energy, desired unitary etc. )
  3. What sorts of other NON spin system style datasets do we want ? (perhaps an ensemble of noisy circuits which all correspond to some hidden unitary we wish to realize. Maybe a series of circuits containing time correlated errors that we need to identify)

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.